Denoising of human speech using combined acoustic and EM sensor signal processing

Authors:
L. C. Ng;G. C. Burnett;J. F. Holzrichter;T. J. Gable
Affiliations:
Lawrence Livermore Nat. Lab., CA, USA;-;-;-
Venue:
ICASSP '00 Proceedings of the Acoustics, Speech, and Signal Processing, 2000. on IEEE International Conference - Volume 01
Year:
2000

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Abstract

Low power EM radar-like sensors have made it possible to measure properties of the human speech production system in real-time, without acoustic interference. This greatly enhances the quality and quantify of information for many speech related applications (see Holzrichter, Burnett, Ng, and Lea, J. Acoustic. Soc. Am. 103 (1) 622 (1998)). By using combined glottal-EM-sensor-and acoustic-signals, segments of voiced, unvoiced, and no-speech can be reliably defined. Real-time de-noising filters can be constructed to remove noise from the user's corresponding speech signal.