Hu et al., 2019 - Google Patents
Phoneme-based contextualization for cross-lingual speech recognition in end-to-end modelsHu et al., 2019
View PDF- Document ID
- 9330610024435755787
- Author
- Hu K
- Bruguier A
- Sainath T
- Prabhavalkar R
- Pundak G
- Publication year
- Publication venue
- arXiv preprint arXiv:1906.09292
External Links
Snippet
Contextual automatic speech recognition, ie, biasing recognition towards a given context (eg user's playlists, or contacts), is challenging in end-to-end (E2E) models. Such models maintain a limited number of candidates during beam-search decoding, and have been …
- 230000015556 catabolic process 0 abstract description 4
Classifications
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- G10—MUSICAL INSTRUMENTS; ACOUSTICS
- G10L—SPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
- G10L15/00—Speech recognition
- G10L15/08—Speech classification or search
- 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
- G10L15/187—Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
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- 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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- G10L17/00—Speaker identification or verification
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