Accession Number:

ADA064694

Title:

Noise Suppression Methods for Robust Speech Processing

Descriptive Note:

Semi-annual technical rept. 1 Apr-31 Sep 1978

Corporate Author:

UTAH UNIV SALT LAKE CITY SCHOOL OF COMPUTING

Report Date:

1978-12-01

Pagination or Media Count:

87.0

Abstract:

A stand alone noise suppression algorithm is presented for reducing the spectral effects of acoustically added noise in speech. Effective performance of digital speech processors operating in practical environments may require suppression of noise from the digital waveform. Spectral subtraction offers a computationally efficient, processor independent, approach to effective digital speech analysis. The method, requiring about the same computation as high-speed convolution, suppresses stationary noise for speech by subtracting the spectral noise bias calculated during non-speech activity. Secondary procedures and then applied to attenuate the residual noise left after subtraction. Since the algorithm resynthesizes a speech waveform, it can be used as a preprocessor to narrow band voice communications systems, speech recognition systems or speaker authentication systems.

Subject Categories:

  • Acoustics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE