Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence
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.
Arnon Amir, Michael Lindenbaum
IEEE Transactions on Pattern Analysis and Machine Intelligence
Donald Samuels, Ian Stobert
SPIE Photomask Technology + EUV Lithography 2007
Charles Micchelli
Journal of Approximation Theory
Salvatore Certo, Anh Pham, et al.
Quantum Machine Intelligence