DocumentCode
417196
Title
Multisensor MELPe using parameter substitution
Author
Brady, Kevin ; Quatieri, Thomas F. ; Campbell, Joseph P. ; Campbell, William M. ; Brandstein, Michael ; Weinstein, Clifford J.
Author_Institution
Lincoln Lab., MIT, Lexington, MA, USA
Volume
1
fYear
2004
fDate
17-21 May 2004
Abstract
The estimation of speech parameters and the intelligibility of speech transmitted through low-rate coders, such as MELP (mixed excitation linear prediction), are severely degraded when there are high levels of acoustic noise in the speaking environment. The application of nonacoustic and nontraditional sensors, which are less sensitive to acoustic noise than the standard microphone, is being investigated as a means to address this problem. Sensors being investigated include the general electromagnetic motion sensor (GEMS) and the physiological microphone (P-mic). As an initial effort in this direction, a multisensor MELPe coder (MELP coder with the addition of a noise preprocessor) using parameter substitution has been developed, where pitch and voicing parameters are obtained from GEMS and P-Mic sensors, respectively, and the remaining parameters are obtained as usual from a standard acoustic microphone. This parameter substitution technique is shown to produce significant and promising DRT (diagnostic rhyme test) intelligibility improvements over the standard 2400 bps MELPe coder in several high-noise military environments. Further work is in progress aimed at utilizing the nontraditional sensors for additional intelligibility improvements and for more effective lower-rate coding in noise.
Keywords
acoustic noise; linear predictive coding; microphones; parameter estimation; random noise; sensor fusion; speech coding; speech intelligibility; vocoders; 2400 bit/s; MELP coder; acoustic microphone; acoustic noise; diagnostic rhyme test; general electromagnetic motion sensor; military environments; mixed excitation linear prediction coder; multisensor MELPe coder; nonacoustic sensors; parameter substitution; physiological microphone; pitch parameters; speech intelligibility; speech parameter estimation; voicing parameters; Acoustic noise; Acoustic sensors; Acoustic testing; Code standards; Degradation; Microphones; Military standards; Parameter estimation; Speech enhancement; Standards development;
fLanguage
English
Publisher
ieee
Conference_Titel
Acoustics, Speech, and Signal Processing, 2004. Proceedings. (ICASSP '04). IEEE International Conference on
ISSN
1520-6149
Print_ISBN
0-7803-8484-9
Type
conf
DOI
10.1109/ICASSP.2004.1326026
Filename
1326026
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