In order for speech recognizers to deal with increased task perplexity, speaker variation, and environment variation, improved speech recognition is critical. Steady progress has been made along those three dimensions at Carnegie Mellon. In this paper, we review the SPHINX-II speech recognition syst
An FFT-based speech recognition system
โ Scribed by Greg Hopper; Reza Adhami
- Publisher
- Elsevier Science
- Year
- 1992
- Tongue
- English
- Weight
- 451 KB
- Volume
- 329
- Category
- Article
- ISSN
- 0016-0032
No coin nor oath required. For personal study only.
โฆ Synopsis
A speuker-dependent, isolated-\4wrd speech recognition system is presented which is bused on the use qf the ,fbst Fourier trun&rm ,fbr extracting .ftatures ,fiom the speech input. The algorithm then normalizes those ,f?atures und compares them uguinst preaiousl? stored ~,ord templutes using dynamic time bvurping in order to identifj the uttered word. The s!astem has lwen successfidiy implemented and proc>ided good results ivhen tested using a small dictiorlary.
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This paper proposes an improved maximum model distance (IMMD) approach for HMM-based speech recognition systems based on our previous work [S. Kwong, Q.H. He, K.F. Man, K.S. Tang. A maximum model distance approach for HMM-based speech recognition, Pattern Recognition 31 (3) (1998) 219}229]. It de"ne