Hearing Research

Wavelet Packets in Speech and Audio

The discrete wavelet transform has become a useful and popular tool for analyzing non-stationary signals.  In some applications, however, the transform's fixed partitioning in time and frequency can limit its usefulness.  The more general wavelet-packet transform can provide better tradeoffs in flexibility, simplicity, and performance by allowing the user to adapt the transform to signals of interest.  Current work is focused on leveraging these properties to provide improved coding and enhancement of speech and audio signals.

Speech Intelligibility in Digital Hearing Aids

Ambient noise often reduces speech intelligibility by masking perceptually important cues.  These masking effects are particularly troublesome for hearing-impaired listeners, who often have great difficulty understanding speech in noise.  Current work is focused on extending and evaluating Models of speech intelligibility in noise, and in using these Models to prescribe effective single-channel noise reduction algorithms for digital hearing aids.

Relevant Publications:


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