Improving perceptual coding of narrowband audio signals at low rates

Authors:
H. Najafzadeh-Azghandi;P. Kabal
Affiliations:
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada;-
Venue:
ICASSP '99 Proceedings of the Acoustics, Speech, and Signal Processing, 1999. on 1999 IEEE International Conference - Volume 02
Year:
1999

Citing 0
Cited 1

Trellis-based approaches to rate-distortion optimized audio encoding

IEEE Transactions on Audio, Speech, and Language Processing

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Abstract

This paper discusses perceptual coding of narrowband audio signals at low rates. In particular, it proposes a new error measure which shapes the noise inside the critical bands, a window switching criterion based on the temporal masking effect of the hearing system, a more accurate model of the simultaneous masking effect of the hearing system, perceptually-based bit allocation algorithms based on two different approaches towards quantization noise shaping and a predictive vector quantization scheme to code the scale factors. The resulting coding scheme outperforms existing low rate speech coders for non-speech signals.