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RawNet

Implementation of the paper ": Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification"

Install / Use

/learn @KrishnaDN/RawNet
About this skill

Quality Score

0/100

Supported Platforms

Universal

README

RawNet

Implementation of the paper "RawNet: Advanced end-to-end deep neural network using raw waveforms for text-independent speaker verification" Paper: https://arxiv.org/pdf/1904.08104.pdf

Usage

import torch
from model import RawNet
inputs = torch.rand(64,1,59049) # Input shape (batch_size,channel_dim,no_samples)
model = RawNet(input_channel=1, num_classes=1211)
predictions, speaker_embeddings = model(inputs)

Pull requests are welcome. For major changes, please open an issue first to discuss what you would like to change. For any queries contact : krishnadn94@gmail.com

License

MIT

Related Skills

View on GitHub
GitHub Stars5
CategoryEducation
Updated2y ago
Forks1

Languages

Python

Security Score

60/100

Audited on Mar 18, 2024

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