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Low-Resource Speech Recognition and Keyword-Spotting Read chapter Read first chapter

2017 | OriginalPaper | Chapter

Preparing Audio Recordings of Everyday Speech for Prosody Research: The Case of the ORD Corpus

Author : Tatiana Sherstinova

Published in: Speech and Computer

Publisher: Springer International Publishing

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Abstract

Studying prosody is important for understanding many linguistic, pragmatic, and discourse phenomena, as well as for solution of many applied tasks (in particular, in speech technologies). Prosody of everyday speech is extremely diverse, demonstrating high interpersonal and intrapersonal variations. Furthermore, natural everyday speech produces a multitude of effects which are hardly possible to obtain in speech laboratories. Because of this fact, it is very important to create resources containing representative collections of everyday speech data. The ORD corpus is a large resource aimed at studying everyday Russian speech. The paper describes the main stages of speech processing in the ORD corpus starting from segmentation of original files into macroepisodes and up to compiling prosody information into the database. This prosody database will be further used for building empirical prosody models.

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previous chapter Phase Analysis and Labeling Strategies in a CNN-Based Speaker Change Detection System
next chapter Recognizing Emotionally Coloured Dialogue Speech Using Speaker-Adapted DNN-CNN Bottleneck Features
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Metadata
Title
Preparing Audio Recordings of Everyday Speech for Prosody Research: The Case of the ORD Corpus
Author
Tatiana Sherstinova
Copyright Year
2017
Book
Speech and Computer

Print ISBN: 978-3-319-66428-6

Electronic ISBN: 978-3-319-66429-3

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-3-319-66429-3_62

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