Combined speech enhancement and auditory modelling for robust distributed speech recognition

The performance of automatic speech recognition (ASR) systems in the presence of noise is an area that has attracted a lot of research interest. Additive noise from interfering noise sources, and convolutional noise arising from transmission channel characteristics both contribute to a degradation of performance in ASR systems. This paper addresses the problem of robustness of speech recognition systems in the first of these conditions, namely additive noise. In particular, the paper examines the use of the auditory model of Li et al. [Li, Q., Soong, F.K., Siohan, O., 2000. A high-performance auditory feature for robust speech recognition. In: Proc. 6th Internat. Conf. on Spoken Language Processing (ICSLP), Vol. III. pp. 51

• Type: Journal
• Year: 2008
• Where: SPEECH
• Authors: Ronan Flynn, Edward Jones
• Keywords: Robust Speech Recognition, SPEECH 2008, Speech Recognition, Speech Recognition Systems