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N 1, providing all the information necessary for the far end to recreate sample N 1. A slightly more advanced version of DPCM is adaptive DPCM (ADPCM). ADPCM typically predicts samples values based on past samples while factoring in some knowledge of how speech varies over time. The error between the actual sample and the prediction is quantized, and this quantized error is transmitted to the far end. Assuming that predictions are fairly accurate, then fewer bits are required to describe the quantized error and hence the bandwidth requirement is lower. The ITU-T Recommendation G.721, which offers ADPCM-coded speech at 32 Kbps, is a good example of ADPCM. G.721 has now been superseded by ITU-T recommendation G.726, which is a more advanced ADPCM codec. A G.726 coder takes A-law- or m-lawcoded speech and converts it to or from a 16, 24, 32, or 40 Kbps channel. Running at 32 Kbps, G.726 ADPCM has an MOS of about 4.0, which is pretty good. Both PCM and ADPCM are waveform codecs. As such, they have effectively no algorithmic delay. In other words, the functioning of the algorithm itself does not require that quantized speech samples or quantized error values be held up for a brief time before being sent to the far end. Given that voice is a delay-sensitive form of communication, this absence of algorithm delay is a significant advantage. The disadvantage, of course, is the bandwidth that these codecs consume especially at the higher end.
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