Titlebook: Neural Networks and Speech Processing; David P. Morgan,Christopher L. Scofield Book 1991 Springer Science+Business Media New York 1991 art

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David P. Morgan,Christopher L. Scofieldcharides, lipids, etc. and their assembly, although preference to respe- ive subjects may be different among readers who are more interested in their biological significance or industrial and/or medical applications. Nevert- less, characterizing or revealing their secondary structure and dynamics ma

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David P. Morgan,Christopher L. Scofieldcharides, lipids, etc. and their assembly, although preference to respe- ive subjects may be different among readers who are more interested in their biological significance or industrial and/or medical applications. Nevert- less, characterizing or revealing their secondary structure and dynamics ma

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Methods in Neural Network Applications,per spectral and temporal representations of speech, the definition of the fundamental units of speech, the degree of sensitivity of speech units to context, and the syntax and semantics of language. Problems such as ambient noise rejection and sound localization are also important factors in our pe

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Signal Processing and Feature Extraction,lly-sampled acoustic time series. Several representations of the STFT have been employed for automatic speech recognition, including linear, logarithmic scale, logarithmic mel-scale, cepstral and differenced-cepstral coefficients. However, recent investigations of mammalian auditory processing have