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Automated detection of transition segments for intensity and time-scale modification for speech intelligibility enhancement

DSpace at IIT Bombay

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Title Automated detection of transition segments for intensity and time-scale modification for speech intelligibility enhancement
 
Creator JAYAN, AR
PANDEY, PC
LEHANA, PK
 
Subject clear speech
conversational speech
hearing
noise
recognition
perception
hard
transition segment detection
clear speech
cvr modification
time-scale modification
harmonic plus noise model
 
Description Spectral transition segments serve as landmarks for the perception of consonants. In "clear speech" mode adopted by speakers to improve intelligibility in difficult communication environments, transition segments are of increased duration and intensity. Modification of conversational speech to have acoustic properties of clear speech has been reported to improve its intelligibility. This paper presents an automated method for locating spectral transition segments in speech, and to produce natural quality resynthesized speech with intensity and time-scale modified spectral transition segments. The boundaries of spectral transition segments are located using an index derived from the rate of variation of energy and centroid frequency in five non-overlapping spectral bands. Time-scale modification is performed using harmonic plus noise model (HNM) based analysis-synthesis. The overall speech duration is kept unaltered by appropriately compressing the steady state segments. Transition segments are intensity scaled by 6 dB. The effectiveness of the method was evaluated by conducting listening tests on normal hearing subjects using VCV syllables as the test material.
 
Publisher IEEE
 
Date 2011-10-25T22:54:05Z
2011-12-15T09:12:12Z
2011-10-25T22:54:05Z
2011-12-15T09:12:12Z
2008
 
Type Proceedings Paper
 
Identifier ICSCN 2008: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING COMMUNICATIONS AND NETWORKING,63-68
978-1-4244-1923-4
http://dspace.library.iitb.ac.in/xmlui/handle/10054/15839
http://hdl.handle.net/100/2526
 
Source International Conference on Signal Processing, Communications and Networking,Chennai, INDIA,JAN 04-06, 2008
 
Language English