2004Unpublished venueRequires access

Speech enhancement using microphone array in moving vehicle environment

Je Seong Cho, Ashok Krishnamurthy

Open publisher page 13 citations

Abstract

This paper proposes a robust speech enhancement method combining spectral subtraction and beamforming, which can be used as a preprocessor for speech recognition systems. Spectral subtraction is an effective method to reduce stationary additive noise from a single microphone signal. However, it has a major drawback, in that it introduces musical noise. In this paper, it is demonstrated that the proposed method improves existing spectral subtraction methods and reduces its residual noise using a microphone array.

About this research paper

What this paper is about

This paper proposes a robust speech enhancement method combining spectral subtraction and beamforming, which can be used as a preprocessor for speech recognition systems. Spectral subtraction is an effective method to reduce stationary additive noise from a single microphone signal. However, it has a major drawback, in that it introduces musical noise. In this paper, it is demonstrated that the proposed method improves existing spectral subtraction methods and reduces its residual noise using a microphone array.

Why it matters

OpenAlex reports 13 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

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Method / approach

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Main findings

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Available abstract

This paper proposes a robust speech enhancement method combining spectral subtraction and beamforming, which can be used as a preprocessor for speech recognition systems. Spectral subtraction is an effective method to reduce stationary additive noise from a single microphone signal. However, it has a major drawback, in that it introduces musical noise. In this paper, it is demonstrated that the proposed method improves existing spectral subtraction methods and reduces its residual noise using a microphone array.

Key concepts: Speech enhancement, Noise-canceling microphone, Microphone array, Computer science, Speech recognition, Beamforming, Preprocessor, Microphone

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