Corpus ID: 199543859

Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants

@article{Aloufi2019EmotionlessPS,
  title={Emotionless: Privacy-Preserving Speech Analysis for Voice Assistants},
  author={Ranya Aloufi and Hamed Haddadi and David Boyle},
  journal={ArXiv},
  year={2019},
  volume={abs/1908.03632}
}
  • Ranya Aloufi, Hamed Haddadi, David Boyle
  • Published in ArXiv 2019
  • Computer Science, Engineering, Mathematics
  • Voice-enabled interactions provide more human-like experiences in many popular IoT systems. Cloud-based speech analysis services extract useful information from voice input using speech recognition techniques. The voice signal is a rich resource that discloses several possible states of a speaker, such as emotional state, confidence and stress levels, physical condition, age, gender, and personal traits. Service providers can build a very accurate profile of a user's demographic category… CONTINUE READING

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