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SPEECH SIGNAL QUANTIZATION USING HUMAN AUDITORY MODELS IN PREDICTIVE CODING SYSTEMS
SPEECH SIGNAL QUANTIZATION USING HUMAN AUDITORY MODELS IN PREDICTIVE CODING SYSTEMS
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机译:预测编码系统中基于人类听觉模型的语音信号量化
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摘要
A speech compression system called "Transform Predictive Coding" or TPC,provides encoding for 7 kHz band speech at 16 kHz sampling at a target bit-rate of 16 or 32 kb/s one or two bits per sample. The system uses short andlong term prediction to remove redundancy. The prediction residual istransformed and coded in the frequency domain as shown on the figure by (110)after accepting time domain data from (60) and parameter input from (100),which corrects the spectrum for auditory perception. The TPC coder uses onlyopen-loop quantization as shown by (70) and therefore has low complexity. Thespeech quality is transparent at 32 kb/s, is very good at 24 kb/s, and isacceptable at 16 kb/s.
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