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Output details

15 - General Engineering

University of Edinburgh (joint submission with Heriot-Watt University)

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Output 222 of 305 in the submission
Article title

Parametric modelling for single-channel blind dereverberation of speech from a moving speaker

Type
D - Journal article
Title of journal
IET Signal Processing
Article number
-
Volume number
2
Issue number
2
First page of article
59
ISSN of journal
1751-9675
Year of publication
2008
Number of additional authors
1
Additional information

This invited paper shows, for the first time, that time-varying acoustic impulse response (AIR) parameters can be parsimoniously modeled by smoothly-varying basis functions. Using practically measured AIRs, it led to the development of sequential methods necessary for real-time implementation and joint enhancement/localisation techniques investigated in EPSRC/DSTL EP/H012699/1 (£117k). This research, stemming from EP/D051207/1, also presents batch-mode algorithms for speech enhancement from a moving talker by statistical modelling of time-varying AIRs. The technique described will become increasingly important as speech recognition on mobile devices becomes ubiquitous in adverse everyday environments. An invited book chapter resulted (DoI:10.1007/978-1-84996-056-4_8, p.naylor@imperial.ac.uk).

Interdisciplinary
-
Cross-referral requested
-
Research group
B - Sensors, Signals & Systems
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-