Acoustic Echo and Noise Control: A Practical Approach
Acoustic Echo and Noise Control: A Practical Approach
Digital Speech Transmission: Enhancement, Coding And Error Concealment
Digital Speech Transmission: Enhancement, Coding And Error Concealment
Subspace methods for multimicrophone speech dereverberation
EURASIP Journal on Applied Signal Processing
A two-sensor noise reduction system: applications for hands-free car kit
EURASIP Journal on Applied Signal Processing
Speech and Audio Processing in Adverse Environments
Speech and Audio Processing in Adverse Environments
Dereverberation and Denoising Using Multichannel Linear Prediction
IEEE Transactions on Audio, Speech, and Language Processing
Microphone array speech processing
EURASIP Journal on Advances in Signal Processing - Special issue on microphone array speech processing
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This paper proposes a frequency domain diversity approach for two or more microphone signals, for example, for in-car applications. The microphones should be positioned separately to insure diverse signal conditions and incoherent recording of noise. This enables a better compromise for the microphone position with respect to different speaker sizes and noise sources. This work proposes a two-stage approach. In the first stage, the microphone signals are weighted with respect to their signal-to-noise ratio and then summed similar to maximum ratio combining. The combined signal is then used as a reference for a frequency domain least-mean-squares (LMS) filter for each input signal. The output SNR is significantly improved compared to coherencebased noise reduction systems, even if one microphone is heavily corrupted by noise.