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Speech enhancement using the modified phase-opponency model
Om D Deshmukh1, Carol Y Espy-Wilson, Laurel H Carney
1Department of Electrical and Computer Engineering and Institute for Systems Research, University of Maryland, College Park, Maryland 20742, USA. omdesh@glue.umd.edu
The Journal of the Acoustical Society of America
|June 8, 2007
Summary
This study introduces the Modified Phase-Opponency (MPO) model for clearer speech enhancement in noisy conditions. The MPO model effectively reduces additive noise without needing to estimate noise characteristics, improving speech quality.
Area of Science:
- Auditory neuroscience
- Signal processing
- Speech technology
Background:
- Speech enhancement is crucial for audibility in noisy environments.
- Existing methods often require noise estimation or statistical assumptions.
- Auditory models offer biologically plausible approaches to signal processing.
Purpose of the Study:
- To present the Modified Phase-Opponency (MPO) model for single-channel speech enhancement.
- To adapt the auditory Phase-Opponency (PO) model for speech processing.
- To develop a noise-robust speech enhancement technique.
Main Methods:
- The Modified Phase-Opponency (MPO) model is based on the auditory PO model.
- It utilizes cross-auditory-nerve-fiber coincidence detection for temporal cue extraction.
- The MPO model allows independent analysis and modification of its components.
Main Results:
- The MPO-based scheme does not require noise characteristic estimation or statistical noise modeling.
- It achieved the lowest Linear Predictive Coding (LPC)-based objective measures.
- It resulted in the highest Perceptual Evaluation of Speech Quality (PESQ) scores for fluctuating noise.
- Integration with a pitch detector further enhanced performance.
Conclusions:
- The MPO model offers an effective and robust approach to speech enhancement.
- It outperforms other methods, particularly with fluctuating noise.
- The model provides a noise-unsupervised and statistically flexible speech enhancement solution.
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