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| 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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