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Multimodal Human-Robot Interaction from the Perspective of a Speech Scientist Read chapter Read first chapter

2015 | OriginalPaper | Chapter

The Multi-level Approach to Speech Corpora Annotation for Automatic Speech Recognition

Authors : Igor Glavatskih, Tatyana Platonova, Valeria Rogozhina, Anna Shirokova, Anna Smolina, Mikhail Kotov, Anna Ovsyannikova, Sergey Repalov, Mikhail Zulkarneev

Published in: Speech and Computer

Publisher: Springer International Publishing

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Abstract

In the paper the multi-level approach to audio files annotation is briefly summarized. The emphasis is mainly placed on the development of annotation rules. Firstly, some general requirements are outlined and more specific markers are listed, which may or may not be included in a particular rule set depending on the given practical task. Then software tools used for creating annotations and its spell-checking are described, and an example of a database created on the basis of the multi-level approach to annotation is given. Lastly, the application of tag sorting in ASR training and testing is discussed.

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previous chapter The “One Day of Speech” Corpus: Phonetic and Syntactic Studies of Everyday Spoken Russian
next chapter The Role of Prosody in the Perception of Synthesized and Natural Speech
Literature
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Bogdanov, D.S., Brukhtii, A.V., Krivnova, O.F., Podrabinovich, A.Ya., Strokin, G.S.: The technology of speech databases formation. Collected papers of system Analysis Institute of RAS, pp. 238–259. Editorial URSS, Moscow (2003–2004) (in Russian)
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Lane, I., Wailbel, A.: Tools of collecting speech corpora via mechanishanical-truk. In: 11th NAACL HLT 2010 Workshop on Creating Speech and Language Data with Amazon’s Mechanical Truck, California, pp. 184–187 (2010)
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Matoušek, J., Romportl, J.: Recording and annotation of speech corpus for Czech unit selection speech synthesis. In: Matoušek, V., Mautner, P. (eds.) TSD 2007. LNCS (LNAI), vol. 4629, pp. 326–333. Springer, Heidelberg (2007)
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Anumanchipalli, G., Chitturi, R., Joshi, S., Kumar, R., Singh, S.P., Sitaram, R.N.V., Kishore, S.P.: Development of Indian language speech databases for large vocabulary speech recognition systems. In: 10th SPECOM International Conference on Speech and Computer, Patras, pp. 245–254 (2005)
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Zulkarneev, M., Grigoryan, R., Shamraev, N.: Acoustic modeling with deep belief networks for Russian speech recognition. In: Železný, M., Habernal, I., Ronzhin, A. (eds.) SPECOM 2013. LNCS, vol. 8113, pp. 17–24. Springer, Heidelberg (2013)
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Krivnova, O.F., Zakharov, L.M., Strokin, G.S.: Automatic transcriber of russian texts: problems, structure and application. In: 6th SPECOM International Conference on Speech and Computer, Moscow, pp. 408–409 (2001)
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Metadata
Title
The Multi-level Approach to Speech Corpora Annotation for Automatic Speech Recognition
Authors
Igor Glavatskih
Tatyana Platonova
Valeria Rogozhina
Anna Shirokova
Anna Smolina
Mikhail Kotov
Anna Ovsyannikova
Sergey Repalov
Mikhail Zulkarneev
Copyright Year
2015
Book
Speech and Computer

Print ISBN: 978-3-319-23131-0

Electronic ISBN: 978-3-319-23132-7

Copyright Year: 2015

DOI
https://doi.org/10.1007/978-3-319-23132-7_54

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