Title :
Application of microphone array for speech coding in noisy environment
Author :
Li, Zhao ; Hoffman, Michael W.
Author_Institution :
Dept. of Electr. Eng., Nebraska Univ., Lincoln, NE, USA
Abstract :
To improve speech intelligibility and quality for coding, an array preprocessor is proposed to enhance noisy speech. The microphone array data is processed with a robust quadratically and linearly constrained minimum variance algorithm. The processor nulls noise and/or interference power from arbitrary spatial and frequency locations and maintains speech from desired locations, thus increasing the SNR for subsequent coding. The array and coder (LPC-10, CELP) structure is studied in terms of array processing gain and overall spectral distortion measurement. Preliminary results show that the array gain is transparent to CELP but not necessarily to LPC-10.
Keywords :
acoustic signal processing; acoustic transducer arrays; array signal processing; direction-of-arrival estimation; interference suppression; linear predictive coding; microphones; noise; speech coding; speech enhancement; speech intelligibility; speech processing; CELP; LPC-10; SNR; array gain; array preprocessor; array processing gain; coding; frequency locations; interference power nulling; microphone array application; microphone array data; noise nulling; noisy environment; noisy speech enhancement; processor; robust linearly constrained minimum variance algorithm; robust quadratically constrained minimum variance algorithm; spatial locations; spectral distortion measurement; speech coding; speech intelligibility; speech quality; Array signal processing; Distortion measurement; Frequency; Interference constraints; Microphone arrays; Noise robustness; Signal to noise ratio; Speech coding; Speech enhancement; Speech processing;
Conference_Titel :
Signals, Systems and Computers, 1996. Conference Record of the Thirtieth Asilomar Conference on
Conference_Location :
Pacific Grove, CA, USA
Print_ISBN :
0-8186-7646-9
DOI :
10.1109/ACSSC.1996.600814
