Corpus ID: 15866447

An End-to-End Architecture for Keyword Spotting and Voice Activity Detection

@article{Lengerich2016AnEA,
  title={An End-to-End Architecture for Keyword Spotting and Voice Activity Detection},
  author={Christopher T. Lengerich and Awni Y. Hannun},
  journal={ArXiv},
  year={2016},
  volume={abs/1611.09405}
}
  • Christopher T. Lengerich, Awni Y. Hannun
  • Published 2016
  • Computer Science
  • ArXiv
  • We propose a single neural network architecture for two tasks: on-line keyword spotting and voice activity detection. [...] Key Method In contrast to prior voice activity detection models, our architecture does not require aligned training data and uses the same parameters as the keyword spotting model. This allows us to deploy a high quality voice activity detector with no additional memory or maintenance requirements.Expand Abstract

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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 11 REFERENCES

    Recurrent neural networks for voice activity detection

    • Thad Hughes, Keir Mierle
    • Computer Science
    • 2013 IEEE International Conference on Acoustics, Speech and Signal Processing
    • 2013
    VIEW 1 EXCERPT

    Small-footprint keyword spotting using deep neural networks

    VIEW 1 EXCERPT