Residual Lsf Vector Quantization Using Arma Prediction

Yıl 2016, Special Issue (2016), 79 - 81, 01.12.2016

Selma Ozaydin

Öz

The
residual LSF vector quantization yields bit rate reduction in the vocoders. In
this work, a residual LSF vector quantization obtained from Auto Regressive
Moving Average (ARMA) prediction is proposed for designing codebooks at very
low bit rates. This residual quantization method is applied to multi stage
vector quantization method and codebooks are designed. For each codebook, the
effectiveness and quality are investigated by calculating the spectral
distortion and outliers. The proposed quantization method reduced the
distortion without any additional complexity.

Anahtar Kelimeler

very low bit rate, speech processing, residual vector quantization, formant tracking, ARMA prediction

Kaynakça

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