Title :
Improving perceptual coding of narrowband audio signals at low rates
Author :
Najafzadeh-Azghandi, H. ; Kabal, Peter
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que.
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
Keywords :
audio coding; transform coding; vector quantisation; critical bands; error measure; hearing system; low rates; narrowband audio signals; nonspeech signals; perceptual coding; perceptually-based bit allocation algorithms; predictive vector quantization scheme; quantization noise shaping; scale factors; temporal masking effect; window switching criterion; Auditory system; Bit rate; Narrowband; Noise measurement; Noise shaping; Particle measurements; Predictive models; Shape measurement; Speech coding; Vector quantization;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
Print_ISBN :
0-7803-5041-3
DOI :
10.1109/ICASSP.1999.759820