Multimodal Emotion Recognition with High-Level Speech and Text Features
Author:
Affiliation:
1. Tokyo Institute of Technology
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9687821/9687855/09688036.pdf?arnumber=9688036
Reference40 articles.
1. Advancing multiple instance learning with attention modeling for categorical speech emotion recognition;shuiyang;Proc Interspeech 2020,0
2. Transformer Based Unsupervised Pre-Training for Acoustic Representation Learning
3. Voxceleb: a large-scale speaker identification dataset;nagrani;Proc Interspeech 2017,0
4. Librispeech: An ASR corpus based on public domain audio books
5. Generalized End-to-End Loss for Speaker Verification
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