Title :
Segmentation-Based Speech Enhancement for Intelligibility Improvement in MELP Coders Using Auxiliary Sensors
Author :
Demiroglu, Cenk ; Kamath, Sunil D. ; Anderson, David V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Georgia Inst. of Technol., Atlanta, GA, USA
fDate :
March 18-23, 2005
Keywords :
acoustic noise; linear predictive coding; military communication; signal denoising; speech coding; speech enhancement; speech intelligibility; DRT scores; M2 tank noise; MELP speech encoder; acoustic microphone; auxiliary sensors; broad phonetic classes; diagnostic rhyme tests; front end; maximum noise suppression; military applications; minimal distortion; noisy environments; perceptually important cues; phoneme class; speech coders; speech enhancement; speech intelligibility improvement; speech signal segmentation; spoken words; Acoustic devices; Acoustic distortion; Acoustic noise; Acoustic sensors; Application software; Filters; Microphones; Military computing; Speech enhancement; Working environment noise;
Conference_Titel :
Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
Print_ISBN :
0-7803-8874-7
DOI :
10.1109/ICASSP.2005.1415234
