Distant Speech Recognition Experiments Using the AMI Corpus

Steve Renals; Pawel Swietojanski

doi:10.1007/978-3-319-64680-0

Distant Speech Recognition Experiments Using the AMI Corpus

Steve Renals, Pawel Swietojanski

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

This chapter reviews distant speech recognition experimentation using the AMI Corpus of multiparty meetings. The chapter compares conventional approaches using microphone array beamforming followed by single-channel acoustic modelling with approaches which combine multichannel signal processing with acoustic modelling in the context of convolutional networks.

Original language	English
Title of host publication	New Era for Robust Speech Recognition
Subtitle of host publication	Exploiting Deep Learning
Publisher	Springer
Pages	355-368
Number of pages	14
ISBN (Electronic)	978-3-319-64680-0
ISBN (Print)	978-3-319-64679-4
DOIs	https://doi.org/10.1007/978-3-319-64680-0
Publication status	Published - 30 Oct 2017

Access to Document

10.1007/978-3-319-64680-0

swietojanskiAccepted author manuscript, 1.57 MB

https://link.springer.com/book/10.1007%2F978-3-319-64680-0

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2 Finished

SUMMA - Scalable Understanding of Mulitingual Media
Renals, S., Birch-Mayne, A. & Cohen, S.
EU government bodies
1/02/16 → 31/01/19
Project: Research
Natural Speech Technology
Renals, S. & King, S.
EPSRC
1/05/11 → 31/07/16
Project: Research

Cite this

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abstract = "This chapter reviews distant speech recognition experimentation using the AMI Corpus of multiparty meetings. The chapter compares conventional approaches using microphone array beamforming followed by single-channel acoustic modelling with approaches which combine multichannel signal processing with acoustic modelling in the context of convolutional networks.",

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Distant Speech Recognition Experiments Using the AMI Corpus

Abstract

Access to Document

SUMMA - Scalable Understanding of Mulitingual Media

Natural Speech Technology

Cite this