Privacy preserving encrypted phonetic search of speech data

@article{Glackin2017PrivacyPE,
  title={Privacy preserving encrypted phonetic search of speech data},
  author={C. Glackin and G{\'e}rard Chollet and Nazim Dugan and Nigel Cannings and J. Wall and S. Tahir and I. G. Ray and M. Rajarajan},
  journal={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
  year={2017},
  pages={6414-6418}
}
  • C. Glackin, Gérard Chollet, +5 authors M. Rajarajan
  • Published 2017
  • Computer Science
  • 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
    • This paper presents a strategy for enabling speech recognition to be performed in the cloud whilst preserving the privacy of users. The approach advocates a demarcation of responsibilities between the client and server-side components for performing the speech recognition task. On the client-side resides the acoustic model, which symbolically encodes the audio and encrypts the data before uploading to the server. The server-side then employs searchable encryption to enable the phonetic search… CONTINUE READING
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    12 Citations
    Background Citations
    4
    Methods Citations
    3
    12 Citations
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    References

    SHOWING 1-7 OF 7 REFERENCES
    Privacy-preserving speech processing: cryptographic and string-matching frameworks show promise
    • 37
    • PDF
    Searchable symmetric encryption: improved definitions and efficient constructions
    • 1,200
    • PDF
    Toward ALISP: A proposal for Automatic Language Independent Speech Processing
    • 41
    Deep Speech: Scaling up end-to-end speech recognition
    • 1,152
    • PDF
    Speech recognition with deep recurrent neural networks
    • 5,582
    • PDF
    Connectionist temporal classification: labelling unsegmented sequence data with recurrent neural networks
    • 2,340
    • PDF
    DARPA TIMIT:: acoustic-phonetic continuous speech corpus CD-ROM, NIST speech disc 1-1.1
    • 801