disertasi-ser

Title: Dimensional Speeh Emotion Recognition by Fusing Acoustic and Linguistic Information
Repository for PhD activity, JAIST 2017~2021

• README.md: PhD resources
• progress: progress monthly, delivered to sensei
• s3_node.md: Daily journal of PhD life
• code : (python) codes to obtain results and plots

PhD Resources

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.

Deep Learning

• How to build NN from scratch in python
• Deep Learning Fundamental with Keras
• Neural network from 11 lines of Python

Speech Recognition

• 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

• Speech emotion recognition by Schuller
• Kaldi speech emotion recognition
• Speech emotion recognition using DNN: Part I
• Speech emotion recognition using DNN: Part II

Acoustic signal processing

• Audio and Music Signal Processing Course in Coursera
• Speech Processing for Machine Learning
• Windowing in Signal Processing

NLP/Text processing

• NLP with Python (NLTK Book)

Writing

• Writing academic papers for beginner
• Tenses in scientific writing
• Tenses
• How To Write A Dissertation - in Bahasa
• MOOC: Academic Writing Made Easy