Structured Support Vector Machines for Speech Recognition

@inproceedings{Zhang2014StructuredSV,
  title={Structured Support Vector Machines for Speech Recognition},
  author={Shi-Xiong Zhang},
  year={2014}
}
Discriminative training criteria and discriminative models are two ešective improvements for HMM-based speech recognition. is thesis proposed a structured support vector machine (SSVM) framework suitable for medium to large vocabulary continuous speech recognition. An important aspect of structured SVMs is the form of features. Several previously proposed features in the eld are summarized in this framework. Since some of these features can be extracted based on generative models, this… CONTINUE READING