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Author:

Zhang, Peng (Zhang, Peng.) | Bao, Chang-Chun (Bao, Chang-Chun.) (Scholars:鲍长春)

Indexed by:

EI Scopus

Abstract:

In this paper, a 2kb/s Waveform Interpolation speech coder is proposed based on non-negative matrix factorization (NMF). In characteristic waveforms (CWs) decomposition, band-partitioning initialization constraints were set to basis vectors before NMF was carried out. This decomposition method only requires speech signal from the current frame, and can yield high decomposition quality with low computational complexity. Besides, the high dimensional CWs matrix can be expressed by the low dimensional coding matrix, and this has facilitated the CWs quantization. The listening test shows that the proposed 2kb/s NMF-WI coder can give smooth speech with quality close to 2.4kb/s SVD-based WI coder.

Keyword:

Speech coding Speech communication Matrix algebra Factorization Interpolation Vector quantization

Author Community:

  • [ 1 ] [Zhang, Peng]Speech and Audio Signal Processing Lab., School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China
  • [ 2 ] [Bao, Chang-Chun]Speech and Audio Signal Processing Lab., School of Electronic Information and Control Engineering, Beijing University of Technology, Beijing 100022, China

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Source :

Year: 2007

Volume: 1

Page: 17-20

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 12

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