Sahu et al., 2016 - Google Patents
An overview: context-dependent acoustic modeling for LVCSRSahu et al., 2016
- Document ID
- 11573331523402953555
- Author
- Sahu P
- Dua M
- Publication year
- Publication venue
- 2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom)
External Links
Snippet
Automatic speech recognition (ASR) is used for accurate and efficient conversion of speech signal into a text message. Generally, speech signal is taken as input and it is processed at front-end to extract features and then computed at back-end using the GMM model. GMM …
- 230000001419 dependent 0 title description 20
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
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- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- G10L15/14—Speech classification or search using statistical models, e.g. hidden Markov models [HMMs]
- G10L15/142—Hidden Markov Models [HMMs]
- G10L15/144—Training of HMMs
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- G10L15/183—Speech classification or search using natural language modelling using context dependencies, e.g. language models
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- G10L15/18—Speech classification or search using natural language modelling
- G10L15/183—Speech classification or search using natural language modelling using context dependencies, e.g. language models
- G10L15/19—Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
- G10L15/197—Probabilistic grammars, e.g. word n-grams
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