ISCA Archive Eurospeech 1997
ISCA Archive Eurospeech 1997

Discriminative feature and model design for automatic speech recognition

Mazin Rahim, Yoshua Bengio, Yann LeCun

A system for discriminative feature and model design is presented for automatic speech recognition. Training based on minimum classification error using a single objective function is applied for designing a set of parallel networks performing feature transformation and a set of hidden Markov models performing speech recognition. This paper compares the use of linear and non-linear functional transformations when applied to conventional recognition features, such as spectrum or cepstrum. It also provides a framework for integrated feature and model training when using class-specific transformations. Experimental results on telephone-based connected digit recognition are presented.


doi: 10.21437/Eurospeech.1997-46

Cite as: Rahim, M., Bengio, Y., LeCun, Y. (1997) Discriminative feature and model design for automatic speech recognition. Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997), 75-78, doi: 10.21437/Eurospeech.1997-46

@inproceedings{rahim97_eurospeech,
  author={Mazin Rahim and Yoshua Bengio and Yann LeCun},
  title={{Discriminative feature and model design for automatic speech recognition}},
  year=1997,
  booktitle={Proc. 5th European Conference on Speech Communication and Technology (Eurospeech 1997)},
  pages={75--78},
  doi={10.21437/Eurospeech.1997-46},
  issn={1018-4074}
}