Title :
Progress towards speech models that model speech
Author_Institution :
Speech Res. Unit, DERA, Malvern, UK
Abstract :
This paper presents a personal view of recent advances in automatic speech recognition. The analysis is concerned with progress in speech pattern modelling, rather than recogniser performance. Despite the limitations of current approaches, it is argued that extension and development of these techniques provides a viable way forward. It is further suggested that the significance of a number of recent developments, such as sub-band speech recognition and segment modelling, is primarily in their potential for overcoming fundamental limitations of current HMM-based approaches, and not in the short-term improvement in recognition accuracy which has been achieved
Keywords :
hidden Markov models; speech recognition; HMM; automatic speech recognition; hidden Markov model; segment modelling; speech models; speech pattern modelling; sub-band speech recognition; Automatic speech recognition; Error analysis; Hidden Markov models; Pattern analysis; Performance analysis; Speech analysis; Speech recognition; Surface structures; Training data; Vocabulary;
Conference_Titel :
Automatic Speech Recognition and Understanding, 1997. Proceedings., 1997 IEEE Workshop on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-7803-3698-4
DOI :
10.1109/ASRU.1997.658995