Title :
Preprocessing of noisy speech for voice coders
Author :
Agarwal, Tarun ; Kabal, Peter
Author_Institution :
Dept. of Electr. & Comput. Eng., McGill Univ., Montreal, Que., Canada
Abstract :
Accurate linear prediction coefficient (LPC) estimation is one of the key requirements for low bit-rate voice coding. Under harsh acoustic conditions, LPC estimation can become unreliable. This results in poor quality of encoded speech and introduces annoying artifacts. The paper presents a two-branch speech enhancement preprocessing scheme for low bit-rate voice coders. The scheme consists of two parallel denoising blocks. One block enhances the degraded speech for LPC estimation. Another block increases the perceptual quality of the speech to be coded. The goal of the paper is to design the two-branch scheme. Test results show that the two-branch scheme can provide better perceptual quality compared to conventional one-branch speech enhancement techniques in noisy environments.
Keywords :
linear predictive coding; parameter estimation; random noise; signal denoising; speech coding; speech enhancement; vocoders; linear prediction coefficient estimation; noisy speech preprocessing; parallel denoising blocks; perceptual quality; two-branch speech enhancement; voice coders; Acoustic noise; Acoustical engineering; Additive noise; Linear predictive coding; Noise reduction; Signal to noise ratio; Speech coding; Speech enhancement; Speech processing; Working environment noise;
Conference_Titel :
Speech Coding, 2002, IEEE Workshop Proceedings.
Print_ISBN :
0-7803-7549-1
DOI :
10.1109/SCW.2002.1215761