作者: Stephen P. Gill
DOI: 10.1121/1.396797
关键词: Amplitude 、 Computer science 、 Arithmetic mean 、 Data reduction 、 Spectral analysis 、 Pattern recognition 、 Communication channel 、 Reduction (complexity) 、 Artificial intelligence 、 Feature (machine learning) 、 Signal processing
摘要: Speech signal analysis for data reduction, as stored synthesis or recognition, is improved by features including: digital spectral analysis; reduction of channel and bit allocation selective summation groups contiguous data; using the mean average log amplitude to find deviation each channel; also instaneous shape value pairs adjacent frames, all combined a feature ensemble pair frames.