11th Annual Conference of the International Speech Communication Association

Makuhari, Chiba, Japan
September 26-30. 2010

Towards Mixed Language Speech Recognition Systems

David Imseng, Hervé Bourlard, Mathew Magimai Doss

Idiap Research Institute, Switzerland

Multilingual speech recognition obviously involves numerous research challenges, including common phoneme sets, adaptation on limited amount of training data, as well as mixed language recognition (common in many countries, like Switzerland). In this latter case, it is not even possible to assume that one knows in advance the language being spoken. This is the context and motivation of the present work. We indeed investigate how current state-of-the-art speech recognition systems can be exploited in multilingual environments, where the language (from an assumed set of 5 possible languages, in our case) is not a priori known during recognition. We combine monolingual systems and extensively develop and compare different features and acoustic models. On SpeechDat(II) datasets, and in the context of isolated words, we show that it is actually possible to approach performances of monolingual systems even if the identity of the spoken language is not a priori known.

Full Paper

Bibliographic reference.  Imseng, David / Bourlard, Hervé / Doss, Mathew Magimai (2010): "Towards mixed language speech recognition systems", In INTERSPEECH-2010, 278-281.