Efficient classification of noisy speech using neural networks

@inproceedings{Shao2003EfficientCO,
  title={Efficient classification of noisy speech using neural networks},
  author={Cathy Shao and Martin Bouchard},
  booktitle={ISSPA},
  year={2003}
}
The classification of active speech vs. inactive speech in noisy speech is an important part of speech applications, typically in order to achieve a lower bit-rate. In this work, the error rates for raw classification (i.e. with no hangover mechanism) of noisy speech obtained with traditional classification algorithms are compared to the rates obtained with… CONTINUE READING