awesome-speech-emotion-recognition
github.com/abikaki/awesome-speech-emotion-recognition ↗😎 Awesome lists about Speech Emotion Recognition
101
GitHub Stars
117
Curated Resources
7
Categories
4 hours ago
Last Refreshed
ReviewsDatabasesDevelopingTrainingPublishingLearningOther Awesome Material
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Installation instructions →What's inside
Publishing
- ACM International Conference on MultimediaConferences
October 2024
- Applied AccousticsJournals
2.639
- Applied SciencesJournals
2.679
- Computational Intelligence and NeuroscienceJournals
3.633
- Conference and Workshop on Neural Information Processing Systems (NeurIPS)Conferences
December 2024
- European Signal Processing Conference (EUSIPCO)Conferences
August 2024
Reviews
- A Comprehensive Review of Speech Emotion Recognition Systems2021
- Affective Video Content Analysis: Decade Review and New Perspectives,”2025
- An ongoing review of speech emotion recognition2023
- A Review on Speech Emotion Recognition Using Deep Learning and Attention Mechanism2021
- A survey of dialogic emotion analysis: Developments, approaches and perspectives2024
- A survey of speech emotion recognition in natural environment2021
Databases
- AffectNetDatasets for Emotion Recognition
N/A
- AudioSetDatasets for Sound Classification
2017
- Belfast Naturalistic DatabaseDatasets for Emotion Recognition
Spanish
- Berlin Database of Emotional Speech (Emo-DB)Datasets for Emotion Recognition
German
- CaFEDatasets for Emotion Recognition
French (Canadian)
- CMU Multimodal Opinion Sentiment and Emotion Intensity (CMU-MOSEI)Datasets for Emotion Recognition
English
Developing
Training
- AudiomentationsAudio/Speech Data Augmentation
A Python library for audio data augmentation
- Data2vec 2.0Embeddings
- DeepSpectrumEmbeddings
- ECAPA-TDNNEmbeddings
- EmoFANEmbeddings
- emotion2vecEmbeddings
Other Awesome Material
Learning
- Deep Learning for Audio (HSE University)
- Deep Learning for Audio (University of Illinois Urbana-Champaign)
- Dive into Deep Learning
- Introduction to Speech Processing, 2nd Edition, Aalto University
- Spectral Audio Signal Processing, Julius O. Smith III
- The Scientist and Engineer's Guide to Digital Signal Processing, Steven W. Smith
Showing a sample of 117 resources. View the full list on GitHub →