EMG-Based Speech Recognition Using Hidden Markov Models With Global Control Variables
โ Scribed by Ki-Seung Lee
- Book ID
- 114603809
- Publisher
- IEEE
- Year
- 2008
- Tongue
- English
- Weight
- 975 KB
- Volume
- 55
- Category
- Article
- ISSN
- 0018-9294
No coin nor oath required. For personal study only.
๐ SIMILAR VOLUMES
A discrete wavelet transform algorithm segregates the operand data set sequentially. It generates computational intermediates which represent it at graded resolutions and leads to a reciprocal domain within which information is multiply resolved in terms of the timefrequency localization of the comp
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