Title :
Perceptual coding of narrowband audio signals at 8 kbit/s
Author :
Najafzadeh-Azghandi, H. ; Kabal, Peter
Author_Institution :
Dept. of Electr. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
This paper proposes a VQ-based transform coding scheme for audio signals (sampled at 8 kHz) at very low bit rates. This coder uses a new perceptually based distortion measure, which takes into account the energy of audible noise, in both training the codebooks and selecting the best codewords. An adaptive bit allocation strategy based on the distribution of the energy of the transform coefficients above the masking threshold is employed to assign more bits to perceptually important critical bands. This coder delivers good quality for most audio signals at 1 bit/sample
Keywords :
adaptive signal processing; audio coding; audio signals; decoding; music; speech coding; transform coding; vector quantisation; 8 kHz; 8 kbit/s; VQ-based transform coding; adaptive bit allocation; audible noise energy; audio signals quality; codebooks training; codewords selection; decoder; energy distribution; masking threshold; narrowband audio signals; perceptual coding; perceptually based distortion measure; speech coding; transform coefficients; very low bit rates; Acoustic noise; Bit rate; Decoding; Frequency; Masking threshold; Narrowband; Sampling methods; Signal resolution; Switches; Transform coding;
Conference_Titel :
Speech Coding For Telecommunications Proceeding, 1997, 1997 IEEE Workshop on
Conference_Location :
Pocono Manor, PA
Print_ISBN :
0-7803-4073-6
DOI :
10.1109/SCFT.1997.623920