A Vector-Predictive Multi-Mode Matrix Quantization Approach for Parametric Speech Coding

نویسندگان

  • JANI NURMINEN
  • JUKKA SAARINEN
چکیده

In parametric speech coding, the accuracy of parameter quantization has a significant effect on speech quality. In this paper, we present a flexible and high-fidelity multi-mode quantization approach that combines the beneficial features of predictive vector quantization and matrix quantization. As an example, the proposed technique is employed in quantization of the power component in a waveform interpolation speech coder. The vector-predictive multi-mode matrix quantization approach is shown to achieve higher quantization accuracy than the conventional approaches at the expense of a modest increase in complexity. Key-Words: Vector quantization, Predictive quantization, Multi-mode quantization, Matrix quantization, Index assignment, Speech coding.

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تاریخ انتشار 2002