DocumentCode
2061237
Title
Speech coding using EM sensor and acoustic signals
Author
Holzrichter, J.F. ; Ng, L.C.
Author_Institution
Lawrence Livermore Nat. Lab., California Univ., USA
fYear
2002
fDate
13-16 Oct. 2002
Firstpage
35
Lastpage
36
Abstract
Low-power, miniature EM radar-like sensors have made it possible to measure properties of the human speech production system in real-time, without acoustic interference, at low cost. Compression and other applications use an EM sensor measured glottal signal, combined with one or more acoustic signals, to robustly estimate voiced excitation functions, transfer functions, unvoiced speech segments, articulator gestures, and background noise. Applications are speech coding, de-noising, verification, recognition, voice (and music) synthesis, and medical uses. In speech compression, an almost 10-fold bandwidth reduction has been demonstrated, compared to a standard 2.4 kbps LPC10 protocol.
Keywords
acoustic signal processing; data compression; interference (signal); real-time systems; signal denoising; speech coding; transfer functions; 2.4 kbit/s; EM sensor; acoustic signals; articulator gestures; background noise; bandwidth reduction; human speech production system; real-time systems; signal denoising; speech coding; speech compression; transfer functions; unvoiced speech segments; voiced excitation functions; Acoustic measurements; Acoustic sensors; Costs; Humans; Interference; Noise measurement; Production systems; Real time systems; Sensor systems; Speech coding;
fLanguage
English
Publisher
ieee
Conference_Titel
Digital Signal Processing Workshop, 2002 and the 2nd Signal Processing Education Workshop. Proceedings of 2002 IEEE 10th
Print_ISBN
0-7803-8116-5
Type
conf
DOI
10.1109/DSPWS.2002.1231071
Filename
1231071
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