am1tyadav/teal
Library of TensorFlow layers for audio data processing and data augmentation
This project helps machine learning engineers and data scientists prepare raw audio files for model training and deployment. It takes raw audio waveforms as input and transforms them into spectrograms or applies various augmentation techniques like adding noise or shifting pitch. This is designed for practitioners building machine learning models that analyze or classify audio.
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Use this if you are a machine learning engineer working with audio data and need to preprocess or augment it within a TensorFlow workflow.
Not ideal if you are looking for a standalone audio editing tool or a solution for general audio analysis outside of a TensorFlow machine learning pipeline.
Stars
20
Forks
6
Language
Python
License
MIT
Category
Last pushed
Mar 05, 2022
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