Training Data Augmentation and Data Selection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F17%3APU126474" target="_blank" >RIV/00216305:26230/17:PU126474 - isvavai.cz</a>

Result on the web

<a href="http://www.springer.com/gp/book/9783319646794#aboutBook" target="_blank" >http://www.springer.com/gp/book/9783319646794#aboutBook</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-64680-0_10" target="_blank" >10.1007/978-3-319-64680-0_10</a>

Result language

angličtina

Original language name

Training Data Augmentation and Data Selection

Original language description

This book covers the state-of-the-art in deep neural-network-based methods for noise robustness in distant speech recognition applications. It provides insights and detailed descriptions of some of the new concepts and key technologies in the field, including novel architectures for speech enhancement, microphone arrays, robust features, acoustic model adaptation, training data augmentation, and training criteria. The contributed chapters also include descriptions of real-world applications, benchmark tools and datasets widely used in the field. Chapter 10 is about the Training Data Augmentation and Data Selection.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

Result was created during the realization of more than one project. More information in the Projects tab.

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2017

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

New Era for Robust Speech Recognition: Exploiting Deep Learning

ISBN

978-3-319-64679-4

Number of pages of the result

16

Pages from-to

245-260

Number of pages of the book

436

Publisher name

Springer International Publishing

Place of publication

Heidelberg

UT code for WoS chapter

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