This paper describes a set of modeling techniques for detecting a small vocabulary of keywords in running conversational speech. The techniques are applied in the context of a hidden Markov model (HMM) based continuous speech recognition (CSR) approach to keyword spotting. The word spotting task is
Speech recognition using hidden Markov models based on segmental statistics
โ Scribed by Seiichi Nakagawa; Kazumasa Yamamoto
- Publisher
- John Wiley and Sons
- Year
- 1997
- Tongue
- English
- Weight
- 925 KB
- Volume
- 28
- Category
- Article
- ISSN
- 0882-1666
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
Many diverse methods have been developed in the field of biometric identification as a greater emphasis is placed on human friendliness in the area of intelligent systems. One emerging method is the use of footprint shape. However, in previous research, there were some limitations resulting from the
In this paper, by using the formulation of the missing-data problem, a general framework for statistical acoustic modelling of speech is presented. With the motivation of utilizing bi-directional contextual dependence in acoustic modelling, a bi-directional hidden Markov modelling approach for speec