ISCA Archive Interspeech 2008
ISCA Archive Interspeech 2008

Dealing with limited and noisy data in ASR: a hybrid knowledge-based and statistical approach

Abeer Alwan

In this talk, I will focus on the importance of integrating knowledge of human speech production and speech perception mechanisms, and language-specific information with statistically-based, datadriven approaches to develop robust and scalable automatic speech recognition (ASR) systems. As we will demonstrate, the need for such hybrid systems is especially critical when the ASR system is dealing with noisy data, when adaptation data are limited (for the case of speaker normalization and adaptation), and when dealing with accents.


doi: 10.21437/Interspeech.2008-2

Cite as: Alwan, A. (2008) Dealing with limited and noisy data in ASR: a hybrid knowledge-based and statistical approach. Proc. Interspeech 2008, 11-15, doi: 10.21437/Interspeech.2008-2

@inproceedings{alwan08_interspeech,
  author={Abeer Alwan},
  title={{Dealing with limited and noisy data in ASR: a hybrid knowledge-based and statistical approach}},
  year=2008,
  booktitle={Proc. Interspeech 2008},
  pages={11--15},
  doi={10.21437/Interspeech.2008-2}
}