![\"audio](\"https:\/\/www.researchgate.net\/profile\/Olivier-Manette\/publication\/221534625\/figure\/fig6\/AS:668741717221383@1536451858695\/Data-compression-of-an-audio-signal-through-a-network-of-two-TempUnits-A-From-top-to.png\")
<\/p>\nCompression audio encoding Part 2<\/p>\n
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16-bit monaural PCM bit rate (for audio) (example)<\/p>\n
Sampling frequency Number of quantization bits Number of channels bit rate Comments
\n32 kHz 16 1 512 kbps Super Wide Band
\n24 kHz 16 1 384 kbps
\n16 kHz 16 1 256 kbps Broadband
\n8 kHz 16 1 128 kbps Narrowband<\/p>\n
Sampling rate
\nIf you check the web, there are explanations like the sampling required to convert analog waveforms to digital conversion. For example, it shows how many samples of an audio signal input from a microphone are taken per second and digitized. The larger the sample, the greater the range that can be recorded. When an analog waveform is digitized, the frequency that can be expressed is half the sampling frequency (sampling theorem). For example, with a sampling frequency of 48 kHz, it can be expressed up to 24 kHz. At 8 kHz (narrow band) and 16 kHz (wide band), which are often used for audio, you can only hear up to 4 kHz and 8 kHz, respectively. The higher the sample rate, the higher the bit rate.<\/p>\n
Sampling theorem
\nIt is a very simple explanation, but it can express up to half the sample rate. When sampling a signal, if the interval is small, it can be restored close to the original signal, but if it is too thick, it cannot be restored (I would like to write a little more detail when I talk about signal processing or other time ).<\/p>\n
44.1 kHz
\nWhy is there a poorly separated rate of 44.1? .. ..
\nIsn’t the technician deliberately wearing an annoying watch to prevent music CDs from being easily copied? I heard something like that. When I searched, it seems this happened (?) Due to the convenience of an old PCM recorder. In this age, it is difficult to know what 44.1 kHz is in development. The 44.1 kHz \u2194 48 kHz sampling conversion is a headache. For example, USB audio (USB audio device class) exchanges data at 1 ms intervals. In the case of 48kHz, the data is 48 samples, but when considering 44.1kHz, it will be 44 samples (x9) and 45 samples (x1) in 10ms. If a sample of 45 samples is misled (tentatively), it will be 44.0kHz. I think it’s more like that with voice and music, and the human ear is mostly misleading (just my personal opinion).
\nHowever, the objective evaluation method will soon come to an end. For example, you can clearly see that you were fooled by a sine wave (sine wave) (maybe you are unexpectedly on the market).<\/p>\n
Number of quantization bits
\nSampling had to take a value in the direction of time (discretization), but quantization had to take a value in the direction of amplitude. The range that is possible to display the volume of the sound, which is heard often, “dynamic range 96 dB” means that the number of quantization bits is 16 bits and the music signal is played in the range of 0 to 65535 I can do it. The number of quantization bits is also called the bit depth or bit depth.<\/p>\n
Bitrate
\nIn communication, it indicates how many bits of data are transferred per hour and is generally expressed in bps (bit \/ s) of how many bits are transferred (processed) per second. If it is small, the size when saving as a file is small and there is space on the transmission line for communication. For example, when an audio (1 channel) is compressed to 1\/3, the 3 channel audio can be sent at the same bit rate. Excuse the old story, but considering from the age of analog communication (analog mobile phone), digitization + compression will be able to support multiple calls with the same radio wave.<\/p>\n","protected":false},"excerpt":{"rendered":"