Aimin Chen, Prof. Saeed Vaseghi Supported by EPSRC

This project aims to develop an integrated noisy speech enhancement and recognition system for improving the perceptual quality, the intelligibility, and the automatic recognition of spontaneous speech from mobile telephones in noisy moving car/train environments.

The research has its foci on development of:

• Multi-Resolution Subband Processing of Noisy Signals
• Tree-Based HMM/GMM Modelling of Car/Train Noise Environment
• Speech and Noise Decomposition Using Time-Varying Subband Wiener Filters
• Phoneme-Dependent Perceptual Processing
• Confidence Measure Calculation in Noisy Speech Recognition

Demonstrations

Reduction of background street noise for a mobile phone - Noisy, Enhanced

Reduction of background for a mobile phone in a moving car - Noisy, Enhanced

Reduction of background for a mobile phone in a moving train - Noisy, Enhanced

Noisy & Enhanced Speech Demonstrations

News

List of MPhil/PhD Projects in MultiMedia Mobile Digtial Signal Processing

Advanced Signal processing and Noise Reduction 3rd Ed, S. Vaseghi, John Wiley 2006

Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications, S. Vaseghi, John Wiley 2007

DeNoise Toolkit

This is a collection of established and new speech denoising methods developed at Brunel in collaboration with Southampton and UEA (Project sponsored by EPSRC).

Voice Morph

VoiceMorph is a software tool developed in our lab for analysis, modelling modification and of voice profile parameters including speaker correlates and Accent correlates of voice.

MSc Digital Signal Processing

Multimedia, communication and inteligent systems.