Noise reduction for dual-microphone mobile phones exploiting power level differences

This paper discusses the application of noise reduction algorithms for dual-microphone mobile phones. An analysis of the acoustical environment based on recordings with a dual-microphone mock-up phone mounted on a dummy head is given. Motivated by the recordings, a novel dual-channel noise reduction algorithm is proposed. The key components are a noise PSD estimator and an improved spectral weighting rule which both explicitly exploit the Power Level Differences (PLD) of the desired speech signal between the microphones. Experiments with recorded data show that this low complexity system has a good performance and is beneficial for an integration into future mobile communication devices.

[1]  Christophe Beaugeant,et al.  Robust dual-channel noise power spectral density estimation , 2011, 2011 19th European Signal Processing Conference.

[2]  Rainer Martin,et al.  Noise power spectral density estimation based on optimal smoothing and minimum statistics , 2001, IEEE Trans. Speech Audio Process..

[3]  Ahmad Akbari,et al.  Using power level difference for near field dual-microphone speech enhancement , 2009 .

[4]  W. Marsden I and J , 2012 .

[5]  Lloyd Watts Advanced Noise Reduction for Mobile Telephony , 2008, Computer.

[6]  Thomas Esch,et al.  Efficient musical noise suppression for speech enhancement system , 2009, 2009 IEEE International Conference on Acoustics, Speech and Signal Processing.

[7]  H. Sabine Room Acoustics , 1953, The SAGE Encyclopedia of Human Communication Sciences and Disorders.

[8]  Sven Nordholm,et al.  Dual-Microphone Spectral Subtraction , 2000 .

[9]  Jesper Jensen,et al.  MMSE based noise PSD tracking with low complexity , 2010, 2010 IEEE International Conference on Acoustics, Speech and Signal Processing.