A frequency domain waveform speech compression system based on product vector quantizers
作者： Ning He , A. Buzo , F. Kuhlmann
DOI: 10.1109/ICASSP.1986.1168595
关键词: Linear predictive coding 、 Mathematics 、 Fourier transform 、 Signal processing 、 Frequency domain 、 Speech recognition 、 Speech perception 、 Speech coding 、 Waveform 、 Vector quantization
摘要: The discrete short-time Fourier transform (DS TFT) has been widely used to study and analyze several speech signal characteristics. However, this Scheme not as successfully in compression based on scalar quantization. On the other hand, most perception concepts have very interesting frequency-domain interpretations, which suggest design of schemes frequency domain analysis. In paper we apply vector quantization techniques for designing simulating systems. main conclusion can draw is that a low medium rate compressor, reproduction at least communications quality, complexity moderate, principle possible.
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