Title :
Variable model order LPC quantization
Author :
Ojala, Pasi ; Lakaniemi, Ari
Author_Institution :
Speech & Audio Syst. Lab., Nokia Res. Center, Tampere, Finland
Abstract :
This paper presents a new method to apply variable bit-rate predictive quantization of the variable model order LPC parameters. In addition, the method is employed to interpolate the parameters within the analysis frame. The LPC model order selection algorithm is based on the characteristics of the input signal and on the performance of the LPC model. Hence, the variable bit-rate LPC quantization is source controlled. The number of quantized parameters needs to be identical in successive frames to be able to apply the predictive quantization and to interpolate parameters inside the frame. Therefore, the order of the LPC model of the previous frame needs to be expanded or reduced to be the same as the current frame LPC model. The advantage of variable model order LPC quantization is the lowered average bit-rate compared to a fixed rate while the speech quality remains the same
Keywords :
interpolation; linear predictive coding; parameter estimation; quantisation (signal); speech codecs; speech coding; speech intelligibility; variable rate codes; LPC parameters; analysis frame; average bit-rate; input signal characteristics; interpolation; model order selection algorithm; performance; source controlled quantization; speech codec; speech coding; speech quality; variable bit-rate predictive quantization; variable model order LPC quantization; Cost function; Decoding; Linear predictive coding; Predictive models; Quantization; Speech analysis; Speech codecs; Speech coding; Speech synthesis; Testing;
Conference_Titel :
Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on
Conference_Location :
Seattle, WA
Print_ISBN :
0-7803-4428-6
DOI :
10.1109/ICASSP.1998.674364