8th Annual Conference of the International Speech Communication Association

Antwerp, Belgium
August 27-31, 2007

A Novel 2kb/s Waveform Interpolation Speech Coder Based on Non-Negative Matrix Factorization

Peng Zhang, Chang-chun Bao

Beijing University of Technology, China

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.

Full Paper

Bibliographic reference.  Zhang, Peng / Bao, Chang-chun (2007): "A novel 2kb/s waveform interpolation speech coder based on non-negative matrix factorization", In INTERSPEECH-2007, 1661-1664.