Title :
Denoising of human speech using combined acoustic and EM sensor signal processing
Author :
Holzrichter, J.F.
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
Keywords :
acoustic filters; acoustic signal processing; digital filters; interference suppression; noise; speech enhancement; combined acoustic/EM sensor signal processing; combined glottal-EM-sensor-and acoustic-signals; human speech; low power EM radar-like sensors; real-time de-noising filters; speech signal; Acoustic measurements; Acoustic sensors; Humans; Interference; Noise reduction; Power measurement; Production systems; Real time systems; Sensor systems; Speech enhancement;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on
Conference_Location :
Istanbul
Print_ISBN :
0-7803-6293-4
DOI :
10.1109/ICASSP.2000.861925