• DOI:10.1109/ICASSP.2017.7953391
Corpus ID: 8566909

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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