JOURNAL ARTICLE

Switched split vector quantizer applied for encoding the LPC parameters of the 2.4 Kbits/s MELP speech coder

Abstract

In this paper, we present an optimized switched split vector quantization (SSVQ) scheme developed for low bit-rate encoding of the LPC parameters represented by the line spectral frequencies (LSF). It will be shown that the SSVQ provides better performance in terms of bit-rate, spectral distortion and computational complexity than the traditional split vector quantizer. We further applied our SSVQ encoding system, called LSF-SSVQ encoder, to quantize the LSF parameters of the 2.4 Kbits/s normalised speech coder MELP operating over an ideal noiseless channel.

Keywords:
Speech coding Encoding (memory) Speech recognition Vector quantization Encoder Computer science Quantization (signal processing) Linear predictive coding Harmonic Vector Excitation Coding Linear prediction Algorithm Artificial intelligence

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Citation History

Topics

Advanced Data Compression Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Digital Filter Design and Implementation
Physical Sciences →  Computer Science →  Signal Processing
Image and Signal Denoising Methods
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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