ISCA Archive Interspeech 2008
ISCA Archive Interspeech 2008

On the use of a multilingual neural network front-end

Stefano Scanzio, Pietro Laface, Luciano Fissore, Roberto Gemello, Franco Mana

This paper presents a front-end consisting of an Artificial Neural Network (ANN) architecture trained with multilingual corpora. The idea is to train an ANN front-end able to integrate the acoustic variations included in databases collected for different languages, through different channels, or even for specific tasks. This ANN front-end produces discriminant features that can be used as observation vectors for language or task dependent recognizers. The approach has been evaluated on three difficult tasks: recognition of non-native speaker sentences, training of a new language with a limited amount of speech data, and training of a model for car environment using a clean microphone corpus of the target language and data collected in car environment in another language.

doi: 10.21437/Interspeech.2008-672

Cite as: Scanzio, S., Laface, P., Fissore, L., Gemello, R., Mana, F. (2008) On the use of a multilingual neural network front-end. Proc. Interspeech 2008, 2711-2714, doi: 10.21437/Interspeech.2008-672

  author={Stefano Scanzio and Pietro Laface and Luciano Fissore and Roberto Gemello and Franco Mana},
  title={{On the use of a multilingual neural network front-end}},
  booktitle={Proc. Interspeech 2008},