Low bit-rate speech codec based on a long-term harmonic plus noise model

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机构：

[1] Ali, Faten Ben

[2] Djaziri-Larbi, Sonia

[3] 2,Girin, Laurent

来源：

| 1600年 / Audio Engineering Society卷 / 64期

关键词：

The long-term harmonic plus noise model (LT-HNM) for speech shows an interesting data compression; since it exploits the smooth evolution of the time trajectories of the short-term harmonic plus noise model parameters; by applying a discrete cosine model (DCM). In this paper; we extend the LT-HNM to a complete low bit-rate speech coder. A Normalized Split Vector Quantization (NSVQ) is proposed to quantize the variable dimension LT-DCM vectors. The NSVQ is designed according to the properties of the DCM vectors obtained from a standard speech database. The obtained LT-HNM coder reaches an average bit-rate of 2.7 kbps for wideband speech. The proposed coder is evaluated in terms of modeling and coding errors; bit-rate; listening quality and intelligibility;

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摘要：

Journal article (JA)

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