| Autor: |
Alleva, F, Hon, H, Huang, M, Rosenfeld, Ronald, Weide, R |
| Rok vydání: |
2023 |
| Předmět: |
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| DOI: |
10.1184/r1/21709916 |
| Popis: |
This paper reports recent efforts to apply the speaker-independent SPHINX-II system to the DARPA Wall Street Journal continuous speech recognition task. In SPHINX-II, we incorporated additional dynamic and speaker-normalized features, replaced discrete models with sex-dependent semi-continuous hidden Markov models, augmented within-word triphones with between-word triphones, and extended generalized triphone models to shared-distribution models. The configuration of SPHINX-II being used for this task includes sex-dependent, semi-continuous, shared-distribution hidden Markov models and left context dependent between-word triphones. In applying our technology to this task we addressed issues that were not previously of concern owing to the (relatively) small size of the Resource Management task. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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