Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
Automatic speech recognition (ASR) research has traditionally focused on single-talker recognition. In many scenarios, however, the signal of interest is obscured by acoustic interference, including speech from other talkers. The human auditory system takes advantage of stereo inputs our ears to spatially filter the acoustic environment. Microphone array techniques can also take advantage of multiple inputs. However, even when restricted to a single channel, multiple talkers are still parsed remarkably well by humans but are indecipherable to conventional single-talker ASR systems. In fact, robustness to noise, reverberation, and interfering speakers is considered to be one of the six remaining grand challenges of ASR [47], [48]. © 2010 IEEE.
Heinz Koeppl, Marc Hafner, et al.
BMC Bioinformatics
Ligang Lu, Jack L. Kouloheris
IS&T/SPIE Electronic Imaging 2002
S.F. Fan, W.B. Yun, et al.
Proceedings of SPIE 1989
David L. Shealy, John A. Hoffnagle
SPIE Optical Engineering + Applications 2007