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Qian et al., 2017 - Google Patents

Exploring ASR-free end-to-end modeling to improve spoken language understanding in a cloud-based dialog system

Qian et al., 2017

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Document ID
961472722548634384
Author
Qian Y
Ubale R
Ramanaryanan V
Lange P
Suendermann-Oeft D
Evanini K
Tsuprun E
Publication year
Publication venue
2017 IEEE Automatic Speech Recognition and Understanding Workshop (ASRU)

External Links

Snippet

Spoken language understanding (SLU) in dialog systems is generally performed using a natural language understanding (NLU) model based on the hypotheses produced by an automatic speech recognition (ASR) system. However, when new spoken dialog …
Continue reading at rutujaubale.github.io (PDF) (other versions)

Classifications

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    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/08Speech classification or search
    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
    • G10L15/187Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
    • GPHYSICS
    • G10MUSICAL INSTRUMENTS; ACOUSTICS
    • G10LSPEECH ANALYSIS OR SYNTHESIS; SPEECH RECOGNITION; SPEECH OR VOICE PROCESSING; SPEECH OR AUDIO CODING OR DECODING
    • G10L15/00Speech recognition
    • G10L15/06Creation of reference templates; Training of speech recognition systems, e.g. adaptation to the characteristics of the speaker's voice
    • G10L15/065Adaptation
    • G10L15/07Adaptation to the speaker
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    • G10L15/18Speech classification or search using natural language modelling
    • G10L15/183Speech classification or search using natural language modelling using context dependencies, e.g. language models
    • G10L15/19Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
    • G10L15/197Probabilistic grammars, e.g. word n-grams
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    • G10L15/1822Parsing for meaning understanding
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    • G10L15/14Speech classification or search using statistical models, e.g. hidden Markov models [HMMs]
    • G10L15/142Hidden Markov Models [HMMs]
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    • GPHYSICS
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    • G10L17/00Speaker identification or verification
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    • GPHYSICS
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    • G10L13/00Speech synthesis; Text to speech systems

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