2010 International Conference on Signal and Image Processing 2010
DOI: 10.1109/icsip.2010.5697479
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Spoken digit compression using Wavelet Packet

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Cited by 12 publications
(1 citation statement)
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“…The desirable parameters of the codecs deployed for such applications include [21][22]: Operation in low bit rate, low complexity, robustness across different speakers and languages, robustness in performance in the presence of channel errors, etc. The latest research in the field of signal processing has identified that Daubechies family of wavelets provides optimal results in the recognition of spoken digits as compared to other wavelets [15,23,24,25] and has the advantage of approximate shift -invariance and better edge representation as compared to real-valued discrete wavelet transform [26][27]. Hence, the Daubechies family of wavelets has been considered in the proposed codec.…”
Section: Speech Signal Compression Using Waveletsmentioning
confidence: 99%
“…The desirable parameters of the codecs deployed for such applications include [21][22]: Operation in low bit rate, low complexity, robustness across different speakers and languages, robustness in performance in the presence of channel errors, etc. The latest research in the field of signal processing has identified that Daubechies family of wavelets provides optimal results in the recognition of spoken digits as compared to other wavelets [15,23,24,25] and has the advantage of approximate shift -invariance and better edge representation as compared to real-valued discrete wavelet transform [26][27]. Hence, the Daubechies family of wavelets has been considered in the proposed codec.…”
Section: Speech Signal Compression Using Waveletsmentioning
confidence: 99%