| Paper: | SP-L7.3 | ||
| Session: | Quantization Techniques in Speech Coding | ||
| Time: | Thursday, May 20, 16:10 - 16:30 | ||
| Presentation: | Lecture | ||
| Topic: | Speech Processing: Speech Coding | ||
| Title: | VARIABLE-DIMENSION QUANTIZATION OF SINUSOIDAL AMPLITUDES USING GAUSSIAN MIXTURE MODELS | ||
| Authors: | Jonas Lindblom; Chalmers University of Technology | ||
| Per Hedelin; Chalmers University of Technology | |||
| Abstract: | In this paper, Gaussian mixture (GM) models are used to designvariable-dimension quantizers according to a weighted distortioncriterion. A general method for combining a variable-to-fixeddimension transform, with GM modeling and quantization, is proposed. The method provides a convenient and efficient way to encode the amplitudes in a sinusoidal speech coder. Quantizers designed according to the proposed scheme are evaluated both according to weighted distortion criteria, and with respect to a high-rate bound approximation of the distortion. Informal listening tests suggest that the amplitudes can be encoded without subjective loss in a wideband, harmonic coder, at a rate around 40 bits per frame (for the amplitudes only). | ||
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