Title :
OSLP: a new technique in linear prediction of speech
Author :
Dhanjal, Surinder
Author_Institution :
Dept. of Comput. Sci., Univ. Coll. of the Cariboo, Kamloops, BC, Canada
Abstract :
Odd sample linear prediction (OSLP) is a relatively new and efficient technique for analysis/synthesis of speech signals. OSLP is based on the classical theory of linear prediction. The performance of OSLP was further improved by the author. Pitch detection constitutes an important component of this technique. In the work reported so far, the SIFT algorithm, due to Markel and Grey (1976), was used for pitch detection mainly because the SIFT is also based on the classical theory of linear prediction. However, many, virtually dozens of, pitch detection algorithms have been reported in literature. In the work reported in this paper, pitch detection algorithms, other than the SIFT, were employed to investigate if the overall performance of OSLP can be further improved
Keywords :
linear predictive coding; signal sampling; speech coding; speech processing; speech synthesis; vocoders; LPC; OSLP; odd sample linear prediction; performance; pitch detection algorithms; speech analysis/synthesis; speech coding; speech signals; vocoders; Bit rate; Detection algorithms; Educational institutions; Encoding; Process design; Signal analysis; Signal synthesis; Speech analysis; Speech processing; Speech synthesis;
Conference_Titel :
Communications, Computers and Signal Processing, 1997. 10 Years PACRIM 1987-1997 - Networking the Pacific Rim. 1997 IEEE Pacific Rim Conference on
Conference_Location :
Victoria, BC
Print_ISBN :
0-7803-3905-3
DOI :
10.1109/PACRIM.1997.620358