In this paper we present a novel approach to acoustic model training for non-audible murmur (NAM) recognition using normal speech data transformed into NAM data. NAM is extremely ...
Conversational speech exhibits considerable pronunciation variability, which has been shown to have a detrimental effect on the accuracy of automatic speech recognition. There hav...
Murat Saraclar, Harriet J. Nock, Sanjeev Khudanpur
A system to automatically transcribe lectures and presentations has been developed in the context of the FP6 Integrated Project CHIL. In addition to the seminar data recorded by th...
Lori Lamel, Eric Bilinski, Jean-Luc Gauvain, Gille...