Title :
Multiple frame block quantisation of line spectral frequencies using Gaussian mixture models
Author :
Paliwal, Kuldip K. ; So, Stephen
Author_Institution :
Sch. of Microelectron. Eng., Griffith Univ., Brisbane, Qld., Australia
Abstract :
In this paper, we present a Gaussian mixture model-based block quantiser for coding line spectral frequencies that uses multiple frames and mean squared error as the quantiser selection criterion. The efficiency gained from jointly coding multiple frames permits the use of the mean squared error distortion (MSE) criterion rather than the computationally expensive spectral distortion. The proposed coder encompasses improvements in both distortion performance and complexity with transparency achieved at 23 bits per frame when coding two frames jointly or 21 bits per frame when coding 3 frames.
Keywords :
Gaussian distribution; mean square error methods; quantisation (signal); spectral analysis; speech coding; Gaussian mixture models; MSE criterion; distortion performance; line spectral frequencies; mean squared error; mean squared error distortion; multiple frame block quantisation; multiple frames; speech coding; Bit rate; Distortion measurement; Frequency; Linear predictive coding; Microelectronics; Quantization; Signal synthesis; Speech coding; Speech synthesis; Vectors;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
Print_ISBN :
0-7803-8484-9
DOI :
10.1109/ICASSP.2004.1325944