Audio and Text-Based Emotion Recognition System Using Deep Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-19-8865-3_41
Reference9 articles.
1. Navyasri M, Ramakrishnamurty M et al (2017) Robust features for emotion recognition from speech by using Gaussian mixture model classification. In: International conference and published proceeding in SIST series, August 2017, vol 2. Springer, pp 437–444
2. Kaya H, Gürpınar F, Ali Salah A (2017) Video-based emotion recognition in the wild using deep transfer learning and score fusion. Image Vis Comput 65:66–75
3. Poria S et al (2018) Meld: a multimodal multi-party dataset for emotion recognition in conversations. arXiv preprint arXiv:1810.02508
4. Zhou H et al (2019) Exploring emotion features and fusion strategies for audio-video emotion recognition. In: 2019 international conference on multimodal interaction
5. Busso C et al (2008) IEMOCAP: interactive emotional dyadic motion capture database. Lang Resour Eval 42(4):335–359
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