Pablo Riera

ICC, CONICET

Mail: priera at dc uba ar 

Bio

PhD in Physics, programmer.

Research Areas:

  • Sound and music processing
  • Neural Networks
  • Speech mental states recognition

Publications

Google Scholar

Publication selection:

  • Pepino, L., Riera, P., & Ferrer, L. (2021). Emotion Recognition from Speech Using Wav2vec 2.0 Embeddings. arXiv preprint arXiv:2104.03502. 
  • Pepino, L., Riera, P., Ferrer, L., & Gravano, A. (2020, May). Fusion approaches for emotion recognition from speech using acoustic and text-based features. In ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (pp. 6484-6488). IEEE.
  • López, S., Riera, P., Assaneo, M. F., Eguía, M., Sigman, M., & Trevisan, M. A. (2013). Vocal caricatures reveal signatures of speaker identity. Scientific reports, 3(1), 1-7.