Pitch and formants extraction algorithm for speech processing

Author

Cherif, Adnane

Author_Institution

Sci. Fac. of Tunis

Volume

1

fYear

2000

fDate

2000

Firstpage

595

Abstract

We develop a new speech processing program which identifies the pitch period and extracts the formant frequencies of Arabic speech. Its purpose is to enhance voice recognition and to simplify complex processing. The database is composed of Arabic sentences phonetically balanced, pronounced by several speakers (male, female, children). After acquisition, conversion and segmentation, we identify the voiced/unvoiced (V/UV) speech by analysing the its zero-crossing evolution. Then we compute the fundamental frequency and the first four formants of the raw speech. The results are compared with other PDA such as SIFT, AMDF, CEPSTRAL, and LPC by computing the detection error and the V/UV decision error

Keywords

cepstral analysis; speaker recognition; speech processing; time-frequency analysis; Arabic speech; PDA; cepstrum PDA; decision error; detection error; formants extraction algorithm; fundamental frequency; phonetically balanced Arabic sentences; pitch detection; pitch period identification; speaker recognition; speech processing; temporal frequency methods; voice recognition; voiced/unvoiced speech; zero-crossing evolution; Autocorrelation; Cepstral analysis; Frequency; Image coding; Linear predictive coding; Personal digital assistants; Speech analysis; Speech coding; Speech processing; Speech recognition;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronics, Circuits and Systems, 2000. ICECS 2000. The 7th IEEE International Conference on

Conference_Location

Jounieh

Print_ISBN

0-7803-6542-9

Type

conf

DOI

10.1109/ICECS.2000.911610

Filename

911610