Corpus ID: 33194189

Real-Time Tracking of Speakers' Emotions, States, and Traits on Mobile Platforms

@inproceedings{Marchi2016RealTimeTO,
  title={Real-Time Tracking of Speakers' Emotions, States, and Traits on Mobile Platforms},
  author={Erik Marchi and Florian Eyben and Gerhard Hagerer and Bj{\"o}rn W. Schuller},
  booktitle={INTERSPEECH},
  year={2016}
}
  • Erik Marchi, Florian Eyben, +1 author Björn W. Schuller
  • Published in INTERSPEECH 2016
  • Computer Science
  • We demonstrate audEERING’s sensAI technology running natively on low-resource mobile devices applied to emotion analytics and speaker characterisation tasks. A show-case application for the Android platform is provided, where audEERING’s highly noise robust voice activity detection based on LSTM-RNN is combined with our core emotion recognition and speaker characterisation engine natively on the mobile device. This eliminates the need for network connectivity and allows to perform robust… CONTINUE READING

    Create an AI-powered research feed to stay up to date with new papers like this posted to ArXiv

    Citations

    Publications citing this paper.
    SHOWING 1-7 OF 7 CITATIONS

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 15 REFERENCES

    Distributing Recognition in Computational Paralinguistics

    VIEW 1 EXCERPT

    Real-life voice activity detection with LSTM Recurrent Neural Networks and an application to Hollywood movies

    VIEW 2 EXCERPTS