Title
The impact of vocabulary size and language model order on the Polish whispery speech recognition
Authors
[ 1 ] Instytut Automatyki i Robotyki, Wydział Informatyki, Politechnika Poznańska | [ 2 ] Instytut Automatyki, Robotyki i Inżynierii Informatycznej, Wydział Elektryczny, Politechnika Poznańska | [ P ] employee | [ D ] phd student
Scientific discipline (Law 2.0)
Year of publication
2017
Chapter type
chapter in monograph / paper
Publication language
english
Keywords
EN
- automatic speech recognition
- ASR
- polish speech corpus
- LM order
- whispered speech
- continuous speech recognition
- lexicon size
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. The aim of studies presented in this paper was to check, how the vocabulary size and the language model order influence on the speech recognition quality. It has been concluded that even using recordings with 5,000 different words only it is possible to prepare large vocabulary continuous speech recognition (LVCSR) model. It has been also found that the third order of language model is the best choice. The difference between normal and whispery speech is negligible and is manifested only in higher word error rate index (about 1.5 times higher for whispery speech).
Pages (from - to)
616 - 621
Ministry points / chapter
20
Publication indexed in
WoS (15)
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