ISCA Archive ICSLP 2000
ISCA Archive ICSLP 2000

Self-organizing letter code-book for text-to-phoneme neural network model

Kare Jean Jensen, Søren Riis

This paper describes an improved input coding method for a textto- phoneme (TTP) neural network model for speaker independent speech recognition systems. The code-book is self-organizing and is jointly optimized with the TTP model ensuring that the coding is optimal in terms of overall performance. The codebook is based on a set of single layer neural networks with shared weights. Experiments show that performance is increased compared to the NETTalk and NETSpeak models.


Cite as: Jensen, K.J., Riis, S. (2000) Self-organizing letter code-book for text-to-phoneme neural network model. Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000), vol. 3, 318-321

@inproceedings{jensen00b_icslp,
  author={Kare Jean Jensen and Søren Riis},
  title={{Self-organizing letter code-book for text-to-phoneme neural network model}},
  year=2000,
  booktitle={Proc. 6th International Conference on Spoken Language Processing (ICSLP 2000)},
  pages={vol. 3, 318-321}
}