DocumentCode :
2162296
Title :
Implementation of real-time AMDF pitch-detection for voice gender normalisation
Author :
Jung, E. ; Schwarzbacher, A. ; Lawlor, R.
Author_Institution :
Dublin Inst. of Technol., Ireland
Volume :
2
fYear :
2002
fDate :
2002
Firstpage :
827
Abstract :
Traditionally the interest in voice gender conversion was of a more theoretical nature rather than founded in real-life applications. However, with the increase in mobile communication and the resulting limitation in transmission bandwidth new approaches to minimising data rates have to be developed. Here voice gender normalisation (VGN) presents a novel method of achieving higher compression rates by using the VGN algorithm to remove all gender specific components of a speech signal and thus leaving only the information content to be transmitted. A second application for VGN is in the field of speech controlled systems, where current speech recognition algorithms have to deal with the voice characteristics of a speaker as well as the information content. Here again the use of VGN can remove the speakers voice characteristics leaving only the pure information. Therefore, such a system would be capable of achieving much higher recognition rates while being independent of the speaker. This paper presents the theory of a gender removal system based on VGN and furthermore, outlines an efficient real-time hardware implementation for use in portable communications equipment.
Keywords :
data compression; real-time systems; speech processing; speech recognition; VGN algorithm; compression rates; data rates; information content; mobile communication; portable communications equipment; real-time AMDF pitch-detection; real-time hardware implementation; speech recognition algorithms; speech recognition rates; speech signal processing; transmission bandwidth; voice characteristics; voice gender conversion; voice gender normalisation; Cepstral analysis; Communication equipment; Control systems; Hardware; Mobile communication; Real time systems; Robustness; Signal analysis; Speech analysis; Speech recognition;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Signal Processing, 2002. DSP 2002. 2002 14th International Conference on
Print_ISBN :
0-7803-7503-3
Type :
conf
DOI :
10.1109/ICDSP.2002.1028218
Filename :
1028218
Link To Document :
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