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Sheikh et al., 2017 - Google Patents

Modelling semantic context of OOV words in large vocabulary continuous speech recognition

Sheikh et al., 2017

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Document ID
6458328152654982349
Author
Sheikh I
Fohr D
Illina I
Linares G
Publication year
Publication venue
IEEE/ACM Transactions on Audio, Speech, and Language Processing

External Links

Snippet

The diachronic nature of broadcast news data leads to the problem of out-of-vocabulary (OOV) words in large vocabulary continuous speech recognition (LVCSR) systems. Analysis of OOV words reveals that a majority of them are proper names (PNs). However, PNs are …
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Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
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    • G06F17/30634—Querying
    • G06F17/30637—Query formulation
    • G—PHYSICS
    • 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
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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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    • G—PHYSICS
    • G10—MUSICAL INSTRUMENTS; ACOUSTICS
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
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