论文标题
窄带语音信号的新子带非线性预测算法：NADPCMB MLT编码方案
A new subband non linear prediction coding algorithm for narrowband speech signal: The nADPCMB MLT coding scheme
论文作者
论文摘要
本文着重于新开发的透明NADPCMB MLT语音编码算法。我们的编码器首先在子带中分解窄带语音信号，然后在每个子带中执行非线性ADPCM方案。信号子带分解由等效的调制式转换（MLT）滤波器库进行了试验。该算法的新颖性是基于神经网络的非线性方法，用于子带预测编码。我们已经根据ITU -t建议p.800中标准化的五年级损伤量表进行了正式聆听，评估了NADPCMB MLT编码算法的性能。
This paper focuses on a newly developed transparent nADPCMB MLT speech coding algorithm. Our coder first decomposes the narrowband speech signal in subbands, a non linear ADPCM scheme is then performed in each subband. The signal subband decomposition is piloted by the equivalent Modulated Lapped Transform (MLT) filter bank. The novelty of this algorithm is the non linear approach, based on neural networks, to subband prediction coding. We have evaluated the performance of the nADPCMB MLT coding algorithm with a session of formal listening based on the five grade impairment scale standardized within ITU - T Recommendation P.800.
