/machine-learning2020

Speech emotion recognition using various machine learning algorithms

Primary LanguageJupyter Notebook

Classifying Emotion in Speech | ML VU 2020

Final Report

https://docs.google.com/document/d/1bdj7WrCRFR4WEAETifFoRP-b1F5GU5dI99nbkV0yrrU/edit?usp=sharing

Dataset

Full dataset here

Audio-only files of all actors (01-24) are available as two separate zip files (~200 MB each):

Speech file (Audio_Speech_Actors_01-24.zip, 215 MB) contains 1440 files: 60 trials per actor x 24 actors = 1440. Song file (Audio_Song_Actors_01-24.zip, 198 MB) contains 1012 files: 44 trials per actor x 23 actors = 1012.

Dependencies

Anaconda3

  • conda install -c conda-forge librosa pyaudio pysoundfile

Custom recording

python Tester.py