Project information
- Category: NLP Project
- About: Audio Analytics
- Project date: 12/2021
- Project URL: Audio Analytics
NLP Project
Orchestrated a data science Python module for audio emotion analysis, achieving an average processing time of 0.5
seconds per audio file to provide automated emotion classification output
Leveraged state-of-the-art Python libraries (Librosa, NumPy, Pandas, TensorFlow, Keras) to extract and analyze audio
parameters, enhancing the emotion analysis model's depth and accuracy.
Implemented a state-of-the-art 1D CNN model for audio emotion classification, outperforming 2D CNN models with an
80% accuracy on a test dataset of 5,000 audio samples.
