Title :
Speech enhancement using multi-pulse excited linear prediction system
Author_Institution :
Tata Institute of Fundamental research, Bombay, India
Abstract :
The multi-pulse excited linear prediction (MPELP) system is proposed for speech enhancement. It is shown that for successful enhancement of speech the error-weighting filter should not be used in the MPELP system. A new method (the constrained forward-backward correlation prediction method) is proposed for accurate estimation of LP coefficients from noisy speech. This method guarantees the stability of the estimated all-pole filter which is an important prerequirement for the MPELP system. It is shown that the MPELP system can improve the SNR of 0 dB speech by as much as 5.4 dB.
Keywords :
Additive white noise; Algorithm design and analysis; Filtering algorithms; Noise reduction; Signal to noise ratio; Speech analysis; Speech coding; Speech enhancement; Speech synthesis; Wiener filter;
Conference_Titel :
Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '86.
DOI :
10.1109/ICASSP.1986.1169120
