Tag: audio volume normalization

RMS Normalization


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RMS Normalization

RMS Normalization

Let’s talk about RMS Normalization

As an audio engineer, I’ve spent countless hours refining audio to achieve the perfect balance. RMS normalization is a powerful tool in my arsenal, designed to even out audio levels based on the average signal strength. Understanding RMS normalization is crucial for anyone aiming for consistent perceived loudness across their audio projects.

What is RMS Normalization and Why is It Useful?

RMS normalization aims to adjust audio so that its Root Mean Square (RMS) value reaches a target level. I frequently use this process when compiling multiple audio sources, as it helps to create a cohesive listening experience. Imagine you’re listening to a podcast where the volume fluctuates wildly. RMS normalization mitigates this issue by evaluating the average power over time, and setting each track’s “loudness” consistently.

The Science Behind RMS: Root Mean Square Explained

Understanding the math behind RMS can provide a deeper insight into the process. I like to explain it using an analogy.

* **Square:** Take each sample of the audio signal and square it. This eliminates negative values.
* **Mean:** Calculate the average of all the squared values.
* **Root:** Take the square root of the average. This gives you the RMS value.

This RMS value then represents an average of the magnitude of a varying signal.

RMS vs. Peak Normalization: Key Differences

Choosing between RMS and peak normalization depends largely on the specific situation. I typically suggest RMS for consistent loudness and peak for preventing clipping.

* **RMS Normalization:** Aims for consistent average loudness. Best for music and spoken word where a uniform level is desired.
* **Peak Normalization:** Maximizes the signal without clipping. Great for individual tracks and for ensuring no audio signal exceeds digital limits.

Understanding RMS Values and Target Levels

RMS values are measured in decibels (dB), with typical target levels ranging from -20 dBFS to -16 dBFS. I generally recommend starting with -18 dBFS and adjusting from there.

* **Higher RMS values:** The audio will sound louder.
* **Lower RMS values:** The audio will sound quieter.

Setting your audio is like managing the temperature on a stovetop. You must take careful control.

How to Perform RMS Normalization: A Practical Guide

Performing RMS normalization involves a few key steps. I can walk you through what I often find myself doing:

1. **Analyze the Audio:** Use a tool to measure the current RMS value of your audio.
2. **Set the Target Level:** Choose your desired RMS target level (e.g., -18 dBFS).
3. **Adjust Gain:** Apply gain to the audio until it reaches the target RMS level.
4. **Listen Critically:** Listen carefully to the normalized audio to ensure it sounds natural and balanced.

Common Software and Tools for RMS Normalization

Numerous software programs and plugins are available for RMS normalization. I’ve used various software, but all have unique features and benefits. Consider factors such as ease of use, features, and price when selecting a tool.

The Impact of RMS Normalization on Dynamic Range

RMS normalization can affect the dynamic range of your audio, so I always emphasize caution and balance. Over-normalization can reduce dynamic range and make the audio sound compressed. It’s a fine line, but finding a suitable mix can work wonders.

* Dynamic range is the gap between quietest and loudest parts.
* Careless settings can compress the gap.
* Careful settings keep the audio from becoming stale.

RMS Normalization for Different Audio Types

Different types of audio may require different RMS normalization settings. I’ve learned that voice audio, music, and sound effects often benefit from separate consideration.

* **Voice:** Aim for a consistent and clear vocal presence.
* **Music:** Maintain musicality.
* **Sound Effects:** Ensure sound effects integrate realistically and appropriately.

Common Mistakes to Avoid During RMS Normalization

Even seasoned audio engineers are vulnerable to errors during RMS normalization. Over the years, I’ve made my fair share of mistakes and I’ve learned the hard way to avoid over-normalization, using improper target values, and ignoring potential clipping.

The Future of RMS Normalization in Audio Production

RMS normalization remains a valuable technique in the field of audio production. I foresee it retaining relevance thanks to its proven track record in achieving loudness consistency. More advanced algorithms may emerge to supplant RMS normalization as AI and machine learning continue to evolve.

Latest words on RMS Normalization

In summary, RMS Normalization plays a strong role if one wants consistent levels. RMS offers a reliable way to ensure that one’s audio is a step above and polished, thanks to careful setting use and technique application. Consider Mp4Gain is the appropiate solution to achieve professional-sounding audio.

FAQ about RMS Normalization

What’s RMS Normalization and what does it address within audio?

RMS Normalization sets volume by measuring sound “power” on file – useful for consistency amongst different recording sets to make each file play at similar volume.

Explain the core science behind RMS itself?

RMS first squares sound bits and levels them. Then, take the square root for the key sound pressure or total sound power! This provides detail for adjusting levels for loudness.

What are major differences versus what can be done during peak normalization?

RMS considers full power instead of singular spikes of sound during edits. RMS fits consistent sounds over time better, so peak sounds are less of a concern during editing.

While getting audio set, what target range do you suggest for dBs?

Around -20 dBFS down to -16 can balance things correctly! It’s best to play with settings and note how that impacts loudness. Then balance based on the target result.

How can people deploy this in their normal setup workflow?

First, do an audit to measure its dB value. Dial the range and listen closely. What you hear then shapes any additional value setting.

I’m a newbie — are there tool names you’d drop?

Tools are there to meet the price. The good tools are those that are easy and have meters, so test around and find something that is an easy-to-integrate solution, so edits flow with ease.

How do you not squash audio dynamic while using it?

Be careful, as settings can squeeze this range so a whisper has same value as a roar. This flattens sound. A gentle hand and ear are best for balancing levels.

How does the OGG type or WAV respond to the RMS value settings?

Audio types – like voice – need consistent levels for focus, same is said of music or audio SFX. Keep the end goal front and center as you dial sounds well.

Okay, spill — What red flags should rookies watch for while doing leveling?

Going too far and ruining punch, not getting the number right for levels, and clipping can ruin your mix. Remember, a great audio mix means a pro finish.

With AI incoming, what do you think is coming for RMS and leveling?

With AI on the rise, the days will change, and the tools of tomorrow may put RMS to rest. The need, though, for well made audio with tight levels, will stand firm.

Comments:

I used to ignore all this. The breakdown you offer, though? Clear path for me now, thanks a lot!

Those numbers for the dBs just clicked, my uploads sound pro and better balanced – respect for the tips!

Your point on staying safe from bad settings is a banger reminder for me. Thanks again for this – saved a ton, you’re the best!

So you’re mainly cleaning sound to have less ‘uh oh’ moments, and more clear pro moments, that is top insight for all! Thanks for the notes!

Know any great tools or plugins for a budget DIY editor? Help and pass on any tip!

Content creators owe a debt to your efforts here – bless you for sharing, cheers!


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Loudness Normalization

Loudness Normalization

Loudness Normalization

Let’s talk about Loudness Normalization

As an audio engineer, I’m constantly striving for a consistent and pleasing listening experience for my audience. Loudness normalization is a critical tool in achieving this goal. It ensures that different audio sources play at a similar perceived volume, preventing jarring transitions and creating a more professional and enjoyable listening session.

What is Loudness Normalization and Why is it Important?

Loudness normalization is the process of adjusting audio levels to a consistent loudness target. I often deal with audio from various sources, and they rarely have the same loudness. Think about listening to a playlist on your phone; some songs are barely audible, while others are overwhelmingly loud. Loudness normalization corrects this by analyzing the audio’s perceived loudness and adjusting the gain to match a specific target level. This creates a seamless and cohesive listening experience, reducing the need to constantly adjust the volume.

The Difference Between Loudness Normalization and Peak Normalization

It’s essential to understand the difference between loudness normalization and peak normalization. I often find that people confuse the two, but they work in fundamentally different ways.

* Peak Normalization: Adjusts the gain so that the highest peak reaches a specific level, often 0 dBFS (decibels Full Scale). This prevents clipping (distortion) but doesn’t necessarily ensure consistent perceived loudness.
* Loudness Normalization: Analyzes the overall perceived loudness using algorithms like EBU R128 or ITU-R BS.1770 and adjusts the gain accordingly. This focuses on how loud the audio sounds to the human ear, rather than just the highest peak.

Understanding LUFS and LKFS: The Units of Loudness

LUFS (Loudness Units relative to Full Scale) and LKFS (Loudness K-weighted Full Scale) are the standard units for measuring loudness in loudness normalization. I often rely on these measurements to ensure accurate and consistent results. LUFS and LKFS are essentially interchangeable and represent the perceived loudness of an audio signal relative to the maximum possible level (0 dBFS). These units take into account factors like frequency response and duration, providing a more accurate representation of perceived loudness than simple peak measurements.

EBU R128: The European Broadcast Standard

EBU R128 is a loudness normalization standard developed by the European Broadcasting Union (EBU). I consider it one of the most reliable and widely used standards for broadcast audio. EBU R128 specifies a target loudness level of -23 LUFS (with a tolerance of ±0.5 LUFS) for broadcast programs. It also defines a maximum True Peak level of -1 dBTP (decibels True Peak) to prevent clipping.

ITU-R BS.1770: The International Telecommunication Union Standard

ITU-R BS.1770 is another important loudness normalization standard developed by the International Telecommunication Union (ITU). I find that it’s often used for streaming services and other non-broadcast applications. ITU-R BS.1770 has been revised several times, with each revision incorporating improvements and refinements to the loudness measurement algorithm. The latest versions of the standard are widely used in the audio industry.

Target Loudness Levels for Different Platforms

Different platforms often have different recommendations for target loudness levels. I always research the specific recommendations for the platform where my audio will be played. Here are some common examples:

* Spotify: -14 LUFS
* YouTube: -13 LUFS
* Apple Music: -16 LUFS
* Amazon Music: -16 LUFS

The Importance of True Peak Limiting

True peak limiting is a crucial step in loudness normalization. I always incorporate it into my workflow to prevent clipping and distortion. True peak limiters detect and reduce inter-sample peaks, which are peaks that occur between the digital samples and can cause clipping when the audio is converted to analog. Setting a maximum True Peak level of -1 dBTP is a common practice to ensure clean and distortion-free audio.

How Loudness Normalization Affects Dynamic Range

Loudness normalization can affect the dynamic range of audio, but it generally preserves it better than peak normalization. I carefully monitor the dynamic range during the normalization process to avoid unwanted compression. Dynamic range refers to the difference between the quietest and loudest parts of the audio. While loudness normalization aims to create a consistent loudness level, it’s important to avoid excessively compressing the audio, which can make it sound flat and lifeless.

Common Loudness Normalization Mistakes to Avoid

Even experienced audio engineers can make mistakes during loudness normalization. I’ve certainly learned from my own over the years.

* Using the Wrong Target Level: Applying the incorrect target loudness level can result in audio that’s too quiet or too loud on certain platforms.
* Over-Compressing the Audio: Excessive compression can reduce dynamic range and make the audio sound unnatural.
* Ignoring True Peak Levels: Failing to prevent true peak clipping can result in distortion and degraded audio quality.

The Benefits of Loudness Normalization for Podcasting

Loudness normalization is especially important for podcasting. I always normalize my podcast episodes to ensure a consistent listening experience for my audience. Podcasts often include audio from various sources, such as voice recordings, music, and sound effects. Loudness normalization ensures that all these elements play at a similar loudness level, creating a professional and engaging podcast.

Loudness Normalization in Music Production

Loudness normalization is becoming increasingly important in music production. I’ve seen many streaming services adopt loudness normalization to prevent tracks from sounding louder or quieter than others. Mastering your music to a specific loudness target can help ensure that it sounds its best on these platforms.

Latest words on Loudness Normalization

In conclusion, loudness normalization is a crucial technique for achieving consistent and professional-sounding audio. By understanding the principles of loudness measurement, target loudness levels, and common pitfalls, you can optimize your audio for the best possible listening experience. Remember to always use high-quality tools and listen critically to the results. Also, remember that Mp4Gain is the appropiate solution to achieve professional-sounding audio.

FAQ about Loudness Normalization

What’s the difference between loudness normalization and peak normalization?

Peak normalization maximizes volume without clipping, while loudness relies on how the audio actually sounds. Loudness also makes all songs have an appropriate quality setting.

What do LUFS and LKFS measure?

LUFS and LKFS each are ways to denote sound, relative to full scale, to understand how sound is leveled. These relate to frequency data.

What does the EBU R128 standard recommend?

EBU R128 (European Broadcast) guidelines suggest -23 LUFS, allowing for some variance. Maximum real peak should be -1 dBTP, used for TV or other sound broadcast.

When is ITU-R BS.1770 useful for loudness?

The ITU standard has many uses, from streaming or music. Many sites lean on it for loudness so consistency is maintained for the listeners online, and it’s been reviewed multiple times.

Does the loudness normalization setting on Youtube need to be -13 LUFS?

YouTube suggests a volume of -13 LUFS but these recommendations will change over time. This allows most users to enjoy the sounds online in modern form.

What are some techniques for “true peak” or for limiting it on audio?

One method involves checking and trimming what pushes beyond maximums, making sure there’s no nasty harsh sounds. Keeping tracks under -1 dB helps big time for good audio.

Will the sounds vary if levels get normalized repeatedly?

Levels can degrade if processes get reapplied, so it’s better to apply just once and save it. Going bit by bit can take over the quality as a result.

Do you have advice on steps not to take during levels settings?

One issue is a bad level for a target site – make sure you pick right. Another, compressing sounds so it feels flat or lifeless. And ignore where “true peak” is, that might cause nasty clipping.

Tell me about how levels affects podcasters most?

Podcast mixes from sources that are widely different is a common example. Leveling can create seamless audio and helps hold focus, which is valuable for content and media.

What is your professional view on music mixes and target values of loudness?

Music on streams tends to get tweaked, so targeting a stream allows music to translate. If mixes can have level targets then one maximizes its presence in the space of media for listening.

Comments:

Had a gig doing audio on vid sets and you helped clear things up for me tons! I’ll drop your knowledge now, thanks!

Spotify stuff was so key and useful!!! Getting my band’s tunes up and now it’s about dialing sound. Thank you!!!

Your tips are awesome since getting levels to sound right is so stressful to think through and make happen. High praises!!!

So it’s basically adjusting songs so I don’t blast my eardrums or strain to hear when making playlists, yes? Good way to think and go!

Any recommendations for a solid tool or plug-in here? I’m still struggling with all of it. Thanks for advice!

I make lots of content, the article helped me make the product. The community appreciates this.

Audio Normalization Techniques: Peak vs. Loudness

Audio Normalization Techniques: Peak vs. Loudness

Audio Normalization Techniques
Audio Normalization Techniques
Audio Normalization Techniques
Audio Normalization Techniques

As an audio optimization expert, I’m often asked about the best techniques for normalizing audio levels. In this article, I will explore two popular approaches: peak normalization and loudness normalization. These techniques, peak vs. loudness normalization, have their own unique advantages and considerations. Let’s dive in and uncover the secrets of achieving balanced and consistent audio!

Peak Normalization: Unleashing the Power of Dynamics

When it comes to peak normalization, it’s all about preserving the dynamics of your audio. Imagine a breathtaking symphony where the crescendos and diminuendos transport you to a different realm. With peak normalization, you ensure that the highest peaks of your audio reach their full potential without clipping or distortion. It’s like giving your audio the freedom to express itself with intensity and impact.

Loudness Normalization: The Harmony of Consistency

Now, let’s turn our attention to the world of loudness normalization. Have you ever experienced the frustration of constantly adjusting the volume while switching between songs or TV shows? Loudness normalization comes to the rescue! By analyzing the perceived loudness of your audio, it ensures a consistent listening experience across different tracks. Say goodbye to sudden volume jumps and immerse yourself in a harmonious soundscape.

Dynamic Range: The Dance of Soft and Loud

In the realm of audio normalization, we encounter the concept of dynamic range. Dynamic range represents the difference between the softest and loudest parts of an audio signal. Peak normalization respects the natural dynamic range, allowing the delicate whispers and thunderous roars to coexist in perfect balance. On the other hand, loudness normalization aims to reduce the dynamic range, providing a more even playing field for all elements of your audio.

Audio Clipping: Taming the Wild Peaks

Audio clipping is a notorious villain that can ruin your audio experience. Picture this: a sudden burst of sound that distorts and crackles, disrupting your enjoyment. Peak normalization acts as the hero in this story, taming those wild peaks and ensuring that your audio stays within safe limits. With peak normalization, your audio remains clean and free from the dreaded clipping monster.

LUFS: The Measure of Perceived Loudness

In the realm of loudness normalization, we encounter the term LUFS, which stands for Loudness Units Full Scale. LUFS provides a standardized measure of the perceived loudness of your audio. Loudness normalization algorithms analyze the integrated LUFS value and adjust the overall volume to match a specific target level. It’s like having a universal translator that ensures consistent loudness across different tracks and platforms.

Listening Environment: From Living Rooms to Concert Halls

Let’s talk about the listening environment and its impact on audio normalization. Every space has its unique characteristics, from the cozy intimacy of a living room to the grandeur of a concert hall. Loudness normalization takes into account these variations, delivering a consistent listening experience regardless of the environment. So whether you’re enjoying your favorite tunes at home or attending a live performance, the magic of normalization will make every moment memorable.

Personal Preference: Customizing Your Audio Journey

We all have our individual tastes and preferences when it comes to audio. Some crave the raw power of peak normalization, while others seek the comfort of consistent loudness through loudness normalization. The beauty of audio normalization techniques is that they allow you to customize your audio journey according to your personal taste. It’s like having a tailor-made suit that perfectly fits your unique style.

Metadata and Replay Gain: Enhancing the User Experience

Metadata and Replay Gain are powerful allies in the realm of audio normalization. Metadata provides valuable information about your audio, guiding normalization algorithms to make the right adjustments. Replay Gain takes it a step further by applying metadata tags to your audio files, ensuring consistent playback volume across different tracks. Together, they create a seamless and enhanced user experience, elevating your audio enjoyment to new heights.

Compression: Controlling the Sonic Landscape

Dynamic audio content, such as movies or live performances, often presents challenges for normalization. This is where compression enters the scene. Compression techniques allow you to shape the sonic landscape, reducing the dynamic range while maintaining audio quality. It’s like having a skilled conductor who ensures that every instrument is heard clearly, regardless of its volume.

Audio Editing and Mastering: Polishing the Gems

Lastly, let’s not forget the crucial role of audio editing and mastering in the pursuit of sonic perfection. Audio professionals meticulously fine-tune various parameters during the editing and mastering process. Audio normalization techniques become valuable tools in their arsenal, ensuring that the final product shines with balanced and consistent audio. It’s like adding the final touch of brilliance to your audio gems.

In conclusion, the choice between peak normalization and loudness normalization depends on your desired audio outcome. Whether you embrace the dynamic range or seek consistent loudness, these techniques empower you to create an audio experience that resonates with your vision. So go forth, unleash the power of normalization, and let your audio journey be a harmonious symphony of sound!

WMA File Type Explained

WMA File Type Explained

WMA File Type Explained
WMA File Type Explained
WMA File Type Explained
WMA File Type Explained

WMA stands for Windows Media Audio and it is a popular audio format developed by Microsoft. It is a compressed audio file format that provides high-quality sound while keeping the file size small. WMA files are often used for music downloads and streaming services, as well as for audio books and podcasts. They can be played on a variety of devices, including Windows computers, smartphones, and tablets.
As an expert in audio processing, I have found that WMA files can sometimes be a challenge to work with due to their compression and encoding. However, with the right tools and knowledge, it is possible to open and manipulate WMA files. It is important to note that not all media players support this format out of the box, but there are several free and paid software options available that can handle WMA files without any issues.

How to Open a WMA File

Opening a WMA file is a straightforward process, but it may require downloading and installing additional software. Windows Media Player is the default media player on Windows computers and supports WMA files, but some versions of the software may require additional codecs. Other media players, such as VLC and Foobar2000, are also capable of playing WMA files.
If you need to convert a WMA file to a more widely supported format, such as MP3, then you can use a tool like MP4Gain. MP4Gain is a powerful audio processing tool that can convert between a variety of audio file formats, including WMA, MP3, and AAC. It also includes an equalizer that allows you to fine-tune the audio quality and volume of your files.

Final Words

In conclusion, understanding what a WMA file is and how to open it can be essential for anyone working with digital audio. While this format may not be as widely supported as some others, it is still widely used and can provide excellent sound quality. Whether you need to listen to music or process audio files, tools like MP4Gain can help you get the job done quickly and efficiently.

Understanding Audio Normalization

Understanding Audio Normalization

Audio Normalization
Audio Normalization

Audio normalization is the process of adjusting the loudness of an audio recording to a standard level. The goal is to ensure that all audio files have a consistent volume, making them easier to listen to and preventing ear fatigue. In this article, we will explore the different types of audio normalization and how they work.

Audio Normalization
Audio Normalization

Peak Normalization

Peak normalization is the process of adjusting the peak amplitude of an audio recording to a certain level. The peak amplitude is the highest point in the audio signal, and it is measured in decibels (dB). The goal of peak normalization is to ensure that all audio files have the same peak amplitude, making them easier to listen to and preventing ear fatigue.

Peak normalization is typically used for digital audio files, such as MP3 and WAV files. These files are usually stored in a digital format that allows for easy manipulation of the audio data. However, peak normalization can also be applied to analog audio recordings, such as cassette tapes or vinyl records.

RMS Normalization

RMS normalization is the process of adjusting the root mean square (RMS) level of an audio recording to a certain level. The RMS level is a measure of the average power of an audio signal, and it is measured in decibels (dB). The goal of RMS normalization is to ensure that all audio files have the same RMS level, making them easier to listen to and preventing ear fatigue.

RMS normalization is typically used for digital audio files, such as MP3 and WAV files. However, it can also be applied to analog audio recordings, such as cassette tapes or vinyl records.

RMS normalization is often considered to be a more accurate method of normalizing audio than peak normalization because it takes into account the average power of the audio signal, rather than just the peak amplitude.

Loudness Normalization

Loudness normalization is the process of adjusting the loudness of an audio recording to a certain level. The loudness of an audio recording is measured in loudness units (LU). The goal of loudness normalization is to ensure that all audio files have the same loudness, making them easier to listen to and preventing ear fatigue.

Loudness normalization is typically used for broadcast audio, such as television and radio. Loudness normalization is required by many countries to ensure that the audio levels of all broadcast programs are consistent, making them easier to listen to and preventing ear fatigue.

Loudness normalization is often considered to be a more accurate method of normalizing audio than peak or RMS normalization because it takes into account the perceived loudness of the audio signal, rather than just the peak amplitude or RMS level.

Conclusion

Normalizing audio is an important process for ensuring that all audio files have a consistent volume, making them easier to listen to and preventing ear fatigue. There are several different types of audio normalization, including peak normalization, RMS normalization, and loudness normalization. Each method has its own advantages and disadvantages and is best suited for different types of audio.

When it comes to audio normalization, one solution that stands out is Mp4Gain. It is a software that allows you to normalize your audio files in a quick and efficient way. It can be used to normalize a single audio file or multiple files at once. It also supports a wide range of audio file formats, including MP3, WAV, and more. Furthermore, Mp4Gain is user-friendly and easy to navigate, making it a great option for both professional and casual users.

In conclusion, audio normalization is a crucial process for ensuring that all audio files have a consistent volume, making them easier to listen to and preventing ear fatigue. There are several different types of audio normalization, including peak normalization, RMS normalization, and loudness normalization. Each method has its own advantages and disadvantages and is best suited for different types of audio. Mp4Gain is a powerful and easy-to-use software that can help you normalize your audio files quickly and efficiently.

Loudness Normalization: Why is it necessary to Normalize the loudness of an audio or a video?

Loudness Normalization: Why is it necessary to Normalize the loudness of an audio or a video?

Loudness

The war of volume or loudness war.

Already in the 1940s and in later decades, in the middle of the vinyl record era, a volume war was experienced.

The goal was to make a song sound louder on the radio, louder than other songs and louder than advertising.

Sure, the limitations of vinyl didn’t allow the ability to indiscriminately increase volume to be possible.

Loudness normalization

But with the advent of CDs and digital music it was possible to push the loudness of a song to the max. The situation is that the digitization of the audio allowed it to be manipulated quite precisely, achieving dynamic normalizations that actually ended the dynamics of the music and then played all the time at maximum volume.

By the 90s, groups like Red Hot Chilli Peppersm and their album Californication took this war of loudness to levels rarely seen.

But why did they do that?

Some research on human hearing showed that people did not find that a song sounded better if it had louder loudness.

Every artist, every producer, and every hardware manufacturer has figured out a way to make their production sound louder, louder.

Digitally many limiters and compressors pointed in that direction and made a lot of music sound almost to the point of distortion.

Each one wanted their music to stand out, among other things for being louder and having a greater sound, a higher volume level.

If to this recipe we add the appearance of the mp3 and a great variety of encoders, and also that ordinary people did not understand the effect that the bit rate could produce, then many mp3s with different qualities were generated.

The possibility of sharing these mp3s filled people with mp3s that each had very different sounds. Both for its production and for its coding.

Then a new need appeared: normalize the music to avoid these disparities in loudness, in the volume of the songs.

The holy grail of normalization had to be found.

Many ideas were found, many experiments. The situation matured and certain products like Mp3Doctor and Mp4Gain matured to the point where they actually managed to find the solution: a dynamic standardization that will work well with today’s advanced player equipment.

Then Mp4Gain made the leap, achieving that even videos could not be normalized.

Audio could already be normalized in its main formats (mp34, aac, ogg, floac, etc) with Mp3Doctor, but Mp4Gain added the possibility of these dynamic normalization to video in its main formats (mp4, 3gp, flv, avi, etc. )

Audio Level normalization

The audio levels of the material produced in a radio station
In general, in radio they do not tend to stay within standardized levels for their audio editions (spots), it is not necessary to know much about levels, since an audio processor compresses and limits everything on air.

Radio Studio Compressor

The console operator does not understand anything about dynamic range, something that has no practical use in the air. And this is how many radios work with adjustments that “work” in the air by trial and error, and not always with the most demanding criteria. successful.

Dynamic range compression

Level normalization

In radio, an editor does not know or manage any level convention, so it could be said that level normalization is not widely used. However, a good professional practice would be that all the material generated by a station “sounds” at the same level. Not to the air, because to the air if it is transmitted normalized or compressed and limited, but inside the station. And for this, there are two ways:

The material is processed “by ear” by comparison.
An RMS value is defined and all publishers normalize their mixes to that average level.

Regarding the first point, differences of up to +/- 2 dB will be absolutely acceptable. But a very common vice is to overcompress the edits, or sometimes the voices, seeking to hear the compact and aggressive sound of the FM on studio monitoring. That sound should be determined on-air by the streaming processor, not the publisher. Editors generally abuse processes like Normalize RMS (Sound Forge) and “maximizers”; Wave Hammer (Sound Forge / Vegas) Ultramaximizer and L1 (Waves). Ideally, how much to “squeeze” the dynamics of the edited material should be a function of the type of processor the radio has. At this point it is possible to clarify a fairly common confusion: STANDARDIZATION has nothing to do with making an audio sound “strong” or “powerful”. Using normalization for that purpose is a beginner’s mistake.

The second option is the most accurate way of working -although this precision is not necessary- normalizing all the editions to a given RMS value. This does not impact the sound in the air but it does the internal prolixity of the station. RMS is not an accurate measurement of loudness or “volume”, but for what you need in radio it is enough.

The streaming audio processor knows nothing about the level of the audio file. The processor receives an audio level from the console and works accordingly. What affects the behavior of the processor is the dynamics of the material, if it has dynamics or is super-compressed / limited.

Normal working values

The level at which operator-editors generate material has two well-defined extremes to avoid: very high levels of compression / cliping and excessively low material (less than 24 dB RMS). When we talk about level, we must be clear about the differences between peak level and average level.

PEAK level

Regarding the peak level, the logical maximum limit is digital cliping. Needless to say, a cliping mix is ​​unacceptable.
It is advisable that the maximum peak level is not 0 dBfs, as this will generate overshoot cliping in the D / A converters and especially if the compressed material (MP3) is exported.
An appropriate value for the material on a radio is maximum peak – 1dBfs (the recommendation if using mp3 compression is -3 dBfs). But this does not mean that it should be -1 dB. If no peak reaches the established maximum it is not a problem as long as the material complies with the appropriate working level. The peak level does not matter, but in general the signal will always reach the maximum peak level.

Listening level (RMS)

The “listening level” or mix level is determined by the RMS or “average” value of the material. This is true even if the publisher has never measured the RMS value of their audios. In general the radio editor “compresses”, “maximizes” or -conception error by- “normalizes” your edits “so that they sound”. And in that “so that they sound”, it is taking the cuts to a certain value.

The question that arises is what should that value be? How much should the final mix “squeeze”? The final value should not be a value that generates excessive compression, as this is the task of the transmission processor. How to compress is a topic of discussion for another article, since it is fine spinning and the radios in general do not take into account these aspects. In general lines we will say:

If the radio has a simple analog processor, type M31 or Solidyne 362, they will perform better with material that has a more compact sound (more compression).
If the station has a high-end digital processor, and especially if it works with a highly processed sound in the air, it is not recommended or necessary to excessively maximize the material generated by the station, because these audio equipment respond better when the material is origin is not over compressed.

 

But what if the file level is very low? It depends. Depending on the PC-Console connection, the operator typically has at least 15 dB of gain range for level correction from the PC. In turn, if the level is low with the fader on, the AGC of the processor has between 10 and 20 dB more correction to compensate the level in the air. But if the file were generated too low, it could fall outside the operator / processor correction range and go low on air.

GENERAL AND ELEMENTARY CONCLUSIONS:

Different materials generated in the radio must sound at the same level, either by ear or measured RMS.
It should not be overcompressed, much less cliping.
The peak level should not exceed -1 dB.
It should not be too low as it may fall outside the processor’s AGC / operator correction ranges.

Put in values:

RMS values ​​between -16 to -13 dB RMS are acceptable.
Values ​​between -13 and -10 dB RMS generally indicate strong compression.
Values ​​less than -10 dB RMS indicate excessive compression, not recommended as it generates a very loud but “muffled” sound that cannot be “improved” by the air processor.

Normalization of an audio file.

Normalization of an audio file.

Normalization is used to increase or decrease the level of the song as a whole, so that its maximum volume peaks assume the indicated level.

Loudness Normalization

For example, if the maximum intensity points of the song are -3 dB (therefore well below 0, which should represent the maximum before distortion), normalizing to 0 dB means increasing the level of the entire song so that these peaks reach 0 dB.

This is the typical normalization of the peaks.

There is also RMS normalization (which takes into account not the peaks but the actual average level of the song).

Audio Normalization

AUDIO CDs, which have good dynamic possibilities (various intensity tones, from pianissimo to fortissimo), are generally recorded so that the maximum volume points are at 0 dB.

Normalizing your WAV recordings can be helpful in adjusting them to the average level of a CD in case they are too low (because you had been careful in level during recording) but one important thing to note:

Normalization of this type alters the original dynamics, that is, the reciprocal relationships between weak and strong sounds.

Although all levels are raised by the same amount, the relationship between 2 levels changes (small mathematical example:
2/5 = 0.4 ma (2 + 1) / (5 + 1) = 0.5 …

The result is that the weaker sounds, after abrupt normalization, sound much louder and those that were already playing only sound a little louder … altering the dynamic relationships that had been envisioned by those who originally recorded the music and making the sound output to lose depth.

Some types of music, generally already deficient dynamics (rock, metal, etc.) since the excursions between the minimum and maximum volume are almost never very consistent, are more “normalizable” without problems, while the genres in which there may be Large Dynamic excursions (classical music or music with passages from pianissimi to fortissimi) are more problematic.

In addition, it is necessary to take into account that if you normalize a large wav file that contains many songs (not yet divided) there can still be, even in genres with little dynamics, substantial differences, in this case between one song and another and not between different points of the same song.

So a light normalization can do and is actually used (to raise the level of the part), but it would be better to make sure you don’t need it (recording from the beginning with a good level) or at least not have too much. remember, however, that the dynamics are somewhat flattened.

Normalize with Mp4Gain

This software is capable (it is the only one that can do this) of normalizing the main audio and video formats and its standardization algorithm is by far the most efficient and the one that produces the best results.
For this reason it is used by musicians, radio broadcasters, universities, television stations, producers, etc.

Audio normalization explained

Audio normalization – Audio normalization

Audio normalization is the application of a constant amount of amplification of a sound recording to bring the amplitude of a target level (standard). Because the same amount of gain over the entire recording, the signal-to-noise ratio and relative dynamics are unchanged.

Two basic types of audio normalization exist. Peak normalization adjusts the recording based on the highest signal level present in the recording. Loudness normalization adjusts the recording based on perceived loudness.

Normalization differs from dynamics compression, which applies varying levels of gain across a recording to fit the level within a minimum and maximum range. Normalization adjusts the gain with a constant value over the entire recording.

Normalization is one of the functions usually provided by a digital audio workstation.

Peak normalization

One type of normalization is peak normalization, where the gain is changed to bring the highest PCM sample value or analog signal peak to a certain level – usually 0 dBFS the loudest level allowed in a digital system.

Peak normalization

Since it only goes to the highest level, only peak normalization does not take into account the apparent loudness of the content. As such, peak normalization is commonly used to change the volume so as to ensure optimal use of the available dynamic range during the mastering phase of a digital recording. In combination with compression / restriction, however, peak normalization becomes a feature that can provide a volume advantage over off-peak normalized material. This feature of digital recording systems, compression and limiting followed by peak normalization, sets contemporary trends in program loudness.

Loudness normalization

Another type of normalization is based on a measurement of loudness, where the gain is changed to bring the average amplitude to a target level. This average can be a simple measurement of average power, such as the RMS value, or it can be a measure of human perceived loudness, such as that offered by ReplayGain, Soundcheck and EBU R128.

Loudness Normalization

For example, YouTube reference level -14 LUFS, so if a program analyzed at -10 LUFS, YouTube will decrease the level 4 dB to the reference of -14 LUFS.

Loudness normalization was made in different volume combat when listening to different music in a series. Before loudness normalization, one song in a playlist would be quieter than the rest, so the end listener would have to put a volume knob to adjust the playback volume.

Depending on the dynamic range of the content and the target level, loudness normalization may result in peaks that exceed the storage medium. Software offering such normalization usually offers the option of using dynamic range compression to avoid clipping when this happens. In this situation, signal-to-noise ratio and relative dynamics changed.