Large-vocabulary audio-visual speech recognition by machines and humans

@inproceedings{Potamianos2001LargevocabularyAS,
  title={Large-vocabulary audio-visual speech recognition by machines and humans},
  author={Gerasimos Potamianos and Chalapathy Neti and Giridharan Iyengar and Eric D Helmuth},
  booktitle={INTERSPEECH},
  year={2001}
}
We compare automatic recognition with human perception of audio-visual speech, in the large-vocabulary, continuous speech recognition (LVCSR) domain. Specifically, we study the benefit of the visual modality for both machines and humans, when combined with audio degraded by speech-babble noise at various signal-to-noise ratios (SNRs). We first consider an automatic speechreading system with a pixel based visual front end that uses feature fusion for bimodal integration, and we compare its… CONTINUE READING
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