| EPSRC Reference: |
GR/S30238/01 |
| Title: |
INTEGRATING NOISE AND UNIFIED SPEECH MODELS FOR COMMUNICATION ON MOBILE DEVICES IN NOISY ENVIRONMENTS |
| Principal Investigator: |
Vaseghi, Professor S |
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| Researcher Co-Investigators: |
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| Project Partners: |
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| Department: |
Electronic & Computer Engineering |
| Organisation: |
Brunel University London |
| Scheme: |
Standard Research (Pre-FEC) |
| Starts: |
01 September 2003 |
Ends: |
30 September 2006 |
Value (£): |
272,874
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| EPSRC Research Topic Classifications: |
| Digital Signal Processing |
Human Communication in ICT |
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| EPSRC Industrial Sector Classifications: |
| Communications |
Healthcare |
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| Panel History: |
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Summary on Grant Application Form |
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Mobile phones are often used in noisy outdoor environments such as a coisy street, airports, cafe, or in a moving car/train. The quality and intelligibility of speech can be severely degraded by the ambient noise. Therefore noise reduction is an increasingly important aspect of improving the quality of service (QoS) and reliability of speech communication. With the increasingly deployment of speech recognition and voice-based systems across a wide range of multimedia mobile services, it is important to the users and providers of mobile phones that sppech communication and access to voice recognition systems is not impaired by noise. Noise degrades the accuracy of automatic speech recognition even for such modest tasks as name dialling, automatic directory enquiry, or voice control of the accessories in a moving car. Furthermore, the future generation of very low bit rate coders will increasingly depend on correct speech classification and accurate estimation of speech parameters for improved performance. The aim of this proposal is to develop an integrated system for both speech enhancement and speech recognition. This will be achieved through teh development of a unified speech model for both speech recognition and synthesis/reconstruction, together with decision-tree predictive models of non-stationary noise sources typically encountered in mobile environments.
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Key Findings |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Potential use in non-academic contexts |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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Impacts |
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| Description |
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk |
| Summary |
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| Date Materialised |
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Sectors submitted by the Researcher |
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This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
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| Project URL: |
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| Further Information: |
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| Organisation Website: |
http://www.brunel.ac.uk |