WavAutoencoder: A Self-Supervised Framework for Learning Audio Representations
Project description
WavAutoEncoder
This repository is an implementation of autoencoder based on Transformer architecture for self supervised speech representation .
Install
$ pip install wav-autoencoder
Usage
Simple example for using the model
import torch
from wav_autoencoder import WavAutoEncoderConfig , WavAutoEncoderModel
>> config = WavAutoEncoderConfig()
>> model = WavAutoEncoderModel(config)
>> wav_signal = torch.randn(2, 1, 16000)
>> outputs = model(wav_signal)
>> print(outputs.shape)
Todo
Citations
@misc{
title = {WavAutoencoder: A Self-Supervised Framework for Learning Audio Representations},
author = {Abdou Aziz DIOP},
year = {2022}
}
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