Performance Evaluation of Front-end Processing for Speech Recognition Systems School of Engineering Report No

@inproceedings{Cheng2007PerformanceEO,
  title={Performance Evaluation of Front-end Processing for Speech Recognition Systems School of Engineering Report No},
  author={Octavian Cheng and Waleed H. Abdulla and Zoran A. Salcic},
  year={2007}
}
Conventional speech feature extraction front-end algorithms suffer severe performance degradation in noisy environment, especially when there is a noise level mismatch between the training and testing environments. It is necessary to search for new feature extraction algorithms, which perform better than the convention methods in adverse conditions. In our literature survey, two recently developed algorithms are found to have better performances than the conventional algorithms. They are… CONTINUE READING