GitHub / NeuroByte-Consulting / Speech-Emotion-Recognition-in-Tensorflow-Using-CNNs
Speech Emotion Recognition (SER) in Tensorflow using CNNs and CRNNs Based on Mel Spectrograms and Mel Frequency Cepstral Coefficients (MFCCs)
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NeuroByte-Consulting%2FSpeech-Emotion-Recognition-in-Tensorflow-Using-CNNs
PURL: pkg:github/NeuroByte-Consulting/Speech-Emotion-Recognition-in-Tensorflow-Using-CNNs
Stars: 9
Forks: 0
Open issues: 0
License: mit
Language: Jupyter Notebook
Size: 15.6 MB
Dependencies parsed at: Pending
Created at: over 1 year ago
Updated at: about 2 months ago
Pushed at: about 2 months ago
Last synced at: about 2 months ago
Topics: cnn, crnn, keras, librosa, mel-cepstrum-coefficients, mel-spectrogram, mfcc, python, speech-emotion-recognition, tensorflow