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Chapter

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Title

Allophones in Automatic Whispery Speech Recognition

Authors

[ 1 ] Katedra Sterowania i Inżynierii Systemów, Wydział Informatyki, Politechnika Poznańska | [ 2 ] Instytut Automatyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ D ] phd student | [ P ] employee

Year of publication

2016

Chapter type

paper

Publication language

english

Keywords
EN
  • automatic speech recognition
  • ASR
  • Polish speech database
  • g2p
  • continuous speech recognition
Abstract

EN The article presents studies on the automatic whispery speech recognition. In the performed research a new corpus with whispery speech has been used. It has been checked whether the extended set of articulatory units (allophones have been used instead of phonemes) improves quality of whispery speech recognition. Experimental results show that the small changes in the allophone set may provide better speech recognition quality than using phonemes approach. The authors also made available the trained g2p (grapheme-to-phoneme) model of Polish language for the Sequitur toolkit.

Pages (from - to)

811 - 815

DOI

10.1109/MMAR.2016.7575241

URL

https://ieeexplore.ieee.org/document/7575241

Book

21st International Conference on Methods and Models in Automation and Robotics (MMAR 2016)

Presented on

21st International Conference on Methods and Models in Automation and Robotics, MMAR 2016, 29.08.2016 - 01.09.2016, Międzyzdroje, Poland

Publication indexed in

WoS (15)

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