Spectral Splitting of Speech by Wavelet Packets to Shrink Simultaneous Masking

Author:

Dhulekar P.A.1,Nalbalwar S.L.1,Chopade J.J.2

Affiliation:

1. Dr. B. A. Technology University

2. SNJB’s LSKBJ COE

Abstract

Simultaneous masking is when a sound is made inaudible by a masker, a noise or unwanted sound of the same duration as the original sound. An innovative approach is investigated for speech processing in cochlea. Differently from the traditional filter-bank spectral analysis strategies, the proposed method analyses the speech signal by means of the wavelet packets. Splitting the speech signal by filtering and down sampling at each decomposition level, using wavelet packets with different wavelet functions, helps to shrink the effect of simultaneous masking. The performance of the proposed method is experimentally evaluated with vowel-consonant-vowel -syllables for fifteen English consonants. The dichotic presentation of processed speech signals effectively reduces the simultaneous masking through which it improves auditory perception.

Publisher

Trans Tech Publications, Ltd.

Subject

General Engineering

Reference11 articles.

1. B. C. J. Moore, An Introduction to Psychology of Hearing. 4th ed. London: Academic, (1997).

2. B. C. J. Moore, Speech processing for hearing impaired: successes, failures, and implications for speech mechanisms, Speech Communication., vol. 41, pp.81-91, (2003).

3. L. R. Rabiner and R. W. Schafer, Digital Processing of the Speech Signals, Englewood Cliffs, NJ: Printice Hall, (1978).

4. T. Arai, K. Yasu, and N. Hodoshima, Effective speech processing for various impaired listeners, Proc. 18th International Congress Acoustics (ICA), 2004, pp.1389-1392.

5. P.N. Kulkarni and P.C. Pandey, Optimizing the comb filters for spectral splitting of speech to reduce the effect of spectral masking, in Proc. International conference on signal processing, Communication and Networking (MIT, Chennai, India), pp.69-73, Jan 4-6, (2008).

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