Application of Wavelets in Speech ProcessingSpeech Coding, Synthesis, and Compression
Application of Wavelets in Speech Processing: Speech Coding, Synthesis, and Compression
Farouk, Mohamed Hesham
2013-12-10 00:00:00
[WT-based coding allows for the control of frequency resolution to closely match the response of the human auditory system. The inherent shaping of the wavelet synthesis filter and a controlled bit allocation to the wavelet coefficients help to minimize the perceptually significant noise due to the quantization error in the residual. Experimental results show that WT-coders deliver superior quality to some audio standards when operating at the same bit rate and comparable quality to other codecs at lower bit rates. As a result, transform compression using WT can provide an efficient and flexible scheme for audio compression.]
http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.pnghttp://www.deepdyve.com/lp/springer-journals/application-of-wavelets-in-speech-processing-speech-coding-synthesis-pKOYM4k8XQ
Application of Wavelets in Speech ProcessingSpeech Coding, Synthesis, and Compression
[WT-based coding allows for the control of frequency resolution to closely match the response of the human auditory system. The inherent shaping of the wavelet synthesis filter and a controlled bit allocation to the wavelet coefficients help to minimize the perceptually significant noise due to the quantization error in the residual. Experimental results show that WT-coders deliver superior quality to some audio standards when operating at the same bit rate and comparable quality to other codecs at lower bit rates. As a result, transform compression using WT can provide an efficient and flexible scheme for audio compression.]
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