Mishra et al., 2023 - Google Patents
Challenges in spoken language diarization in code-switched scenarioMishra et al., 2023
View PDF- Document ID
- 11872138334678489982
- Author
- Mishra J
- Prasanna S
- Publication year
- Publication venue
- 2023 National Conference on Communications (NCC)
External Links
Snippet
Spoken language diarization (SLD) is a task of automatically annotating the monolingual segments in a given code-switched (CS) speech signal. Most of the SLD methods in the literature are linked to the task like automatic speech recognition and no independent …
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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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- G10L15/06—Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
- G10L15/065—Adaptation
- G10L15/07—Adaptation to the speaker
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- G10L15/14—Speech classification or search using statistical models, e.g. hidden Markov models [HMMs]
- G10L15/142—Hidden Markov Models [HMMs]
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- G06K9/62—Methods or arrangements for recognition using electronic means
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- G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
- G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German
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