Title: Dimensional Speeh Emotion Recognition by Fusing Acoustic and Linguistic Information
Repository for PhD activity, JAIST 2017~2021
README.md: PhD resourcesprogress: progress monthly, delivered to senseis3_node.md: Daily journal of PhD lifecode: (python) codes to obtain results and plots
I pursued my PhD in theme of speech emotion recognition. I used two information/features: acoustic and text feature. Here are list of resources I used in my research. I keep to make this list as simple as I can to focus on the most important materials only. For more complete materials, see references in my dissertation.
- How to build NN from scratch in python
- Deep Learning Fundamental with Keras
- Neural network from 11 lines of Python
- Building Japanese Speech Recognition
- Spech recognition from Microsoft
- Machine learning is fun: How to do ASR with deep learning
- Mozilla deep speech tutorial
- Speech emotion recognition by Schuller
- Kaldi speech emotion recognition
- Speech emotion recognition using DNN: Part I
- Speech emotion recognition using DNN: Part II
