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Le Zhang et al., 2015 - Google Patents

Enhancing low resource keyword spotting with automatically retrieved web documents

Le Zhang et al., 2015

View PDF
Document ID
13434407819063837221
Author
Le Zhang D
Hartmann W
Hsiao R
Schwartz R
Tsakalidis S
Publication year
Publication venue
Sixteenth Annual Conference of the International Speech Communication Association

External Links

Snippet

Building keyword spotting system for a new language requires a fair amount of transcribed speech in order to have a good coverage of the target language. Acquiring data, particularly labeled data for supervised learning, is expensive and time consuming. Moreover, the …
Continue reading at www.isca-archive.org (PDF) (other versions)

Classifications

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    • G06F17/30634Querying
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    • G06F17/3066Query translation
    • G06F17/30669Translation of the query language, e.g. Chinese to English
    • GPHYSICS
    • 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
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    • G10L15/19Grammatical context, e.g. disambiguation of the recognition hypotheses based on word sequence rules
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