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Erschienen in:
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2013 | OriginalPaper | Buchkapitel

1. Keyword Spotting Out of Continuous Speech

verfasst von : Ami Moyal, Vered Aharonson, Ella Tetariy, Michal Gishri

Erschienen in: Phonetic Search Methods for Large Speech Databases

Verlag: Springer New York

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Abstract

Successful Automatic Speech Recognition (ASR) technology has been a research aspiration for the past five decades. Ideally, computers would be able to transform any type of human speech into an accurate textual transcription. Today’s ASR technology generates fairly good results using structured speech with relatively low Signal to Noise Ratios (SNR), but performance degrades when using spontaneous speech in real-life noisy environments (Murveit et al. 1992; Young 1996; Furui 2003; Deng and Huang 2004). Performance that is acceptable for commercial applications can be achieved using large training corpora of speech and text. However, there are still problems that need to be resolved.

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Nächstes Kapitel Keyword Spotting Methods
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Metadaten
Titel
Keyword Spotting Out of Continuous Speech
verfasst von
Ami Moyal
Vered Aharonson
Ella Tetariy
Michal Gishri
Copyright-Jahr
2013
Verlag
Springer New York
Buch
Phonetic Search Methods for Large Speech Databases

Print ISBN: 978-1-4614-6488-4

Electronic ISBN: 978-1-4614-6489-1

Copyright-Jahr: 2013

DOI
https://doi.org/10.1007/978-1-4614-6489-1_1

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