DocumentCode
2552372
Title
Exploring the characteristics of analytic decomposition of speech signals
Author
Lukasiak, J. ; Burnett, Ian S.
Author_Institution
Whisper Labs., Wollongong Univ., NSW, Australia
fYear
2000
fDate
2000
Firstpage
59
Lastpage
61
Abstract
This paper investigates the properties of analytic transformation of speech into envelope and phase functions. The envelope is shown to evolve slowly with the pitch of the input speech, whilst the phase consists of two components; one evolving slowly with pitch and another that exhibits a more rapid evolution. We investigate decomposing the phase component further using two distinct methods: (a) filtering of the phase in the pitch evolutionary direction and (b) performing a second analytic decomposition of the phase into secondary envelope and phase components. To examine the characteristics of the pitch cycle evolution, the analytic transform is employed in a waveform interpolation (WI) coding structure. The two phase decompositions are then analysed with particular emphasis on quantisation sensitivity and the required transmission rate. Results indicate that the analytic decomposition may offer a degree of scalability to speech coders, especially when employed in coders that exploit pitch evolution such as WI
Keywords
filtering theory; interpolation; quantisation (signal); speech coding; transform coding; analytic decomposition; analytic transform; envelope functions; input speech pitch; phase component decomposition; phase filtering; phase functions; pitch cycle evolution; pitch evolutionary direction; quantisation sensitivity; speech coders; speech coding; speech signals; transmission rate; waveform interpolation coding; Discrete transforms; Equations; Filtering; Frequency; Interpolation; Performance analysis; Quantization; Signal analysis; Speech analysis; Time domain analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Speech Coding, 2000. Proceedings. 2000 IEEE Workshop on
Conference_Location
Delavan, WI
Print_ISBN
0-7803-6416-3
Type
conf
DOI
10.1109/SCFT.2000.878395
Filename
878395
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