Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/10874
Appears in Collections:Computing Science and Mathematics Book Chapters and Sections
Title: Multi-modal Speech Processing Methods: An Overview and Future Research Directions Using a MATLAB Based Audio-Visual Toolbox
Authors: Abel, Andrew
Hussain, Amir
Contact Email: aka@cs.stir.ac.uk
Editors: Esposito A, Hussain A, Marinaro M, Martone, R
Citation: Abel A & Hussain A (2009) Multi-modal Speech Processing Methods: An Overview and Future Research Directions Using a MATLAB Based Audio-Visual Toolbox. In: Esposito A, Hussain A, Marinaro M, Martone, R (ed.). Multimodal Signals: Cognitive and Algorithmic Issues: COST Action 2102 and euCognition International School Vietri sul Mare, Italy, April 21-26, 2008: Revised, Selected and Invited Papers. Lecture Notes in Computer Science, 5398, Berlin, Germany: Springer-Verlag, pp. 121-129.
Keywords: C
DIRECTION
Future
method
methods
Research
Speech
Issue Date: 2009
Publisher: Springer-Verlag
Series/Report no.: Lecture Notes in Computer Science, 5398
Abstract: This paper presents an overview of the main multi-modal speech enhancement methods reported to date. In particular, a new MATLAB based Toolbox developed by Barbosa et al (2007) for processing audio-visual data is reviewed and its performance potential evaluated. It is shown that the tool does not represent a complete and comprehensive speech processing solution, but rather serves as a standardised, yet versatile base to build upon with further research. To demonstrate this versatility, preliminary examples that make use of these computational procedures with an audiovisual corpus are demonstrated. Finally, some future research directions in the area of multi-modal speech processing are outlined, including future research that the authors aim to carry out with the aid of this newly developed audio-visual MATLAB toolbox, including toolbox customisation, and processing noisy speech in real world environments.
Rights: The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study.
Type: Part of book or chapter of book
URI: http://hdl.handle.net/1893/10874
URL: http://link.springer.com/chapter/10.1007%2F978-3-642-00525-1_12
Affiliation: Computing Science - CSM Dept
Computing Science - CSM Dept

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