| iver56/audiomentations |
1,605 |
|
0 |
5 |
about 2 years ago |
37 |
November 24, 2023 |
46 |
mit |
Python |
| A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning. |
| descriptinc/melgan-neurips |
872 |
|
0 |
0 |
over 2 years ago |
0 |
|
31 |
mit |
Python |
| GAN-based Mel-Spectrogram Inversion Network for Text-to-Speech Synthesis |
| asteroid-team/torch-audiomentations |
823 |
|
0 |
3 |
over 2 years ago |
14 |
June 29, 2022 |
49 |
mit |
Python |
| Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning. |
| mravanelli/SincNet |
764 |
|
0 |
0 |
about 5 years ago |
0 |
|
22 |
mit |
Python |
| SincNet is a neural architecture for efficiently processing raw audio samples. |
| lmnt-com/diffwave |
628 |
|
0 |
0 |
over 2 years ago |
0 |
|
10 |
apache-2.0 |
Python |
| DiffWave is a fast, high-quality neural vocoder and waveform synthesizer. |
| lmnt-com/wavegrad |
239 |
|
0 |
0 |
over 2 years ago |
0 |
|
3 |
apache-2.0 |
Python |
| A fast, high-quality neural vocoder. |
| smousavi05/STEAD |
202 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
cc-by-4.0 |
Python |
| STanford EArthquake Dataset (STEAD):A Global Data Set of Seismic Signals for AI |
| philipperemy/very-deep-convnets-raw-waveforms |
64 |
|
0 |
0 |
about 5 years ago |
0 |
|
0 |
apache-2.0 |
Python |
| Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf |
| zhongyuanzhao/dl_ofdm |
57 |
|
0 |
0 |
over 4 years ago |
0 |
|
0 |
mit |
Python |
| Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-valued Convolutional Networks |
| tae-jun/resemul |
50 |
|
0 |
0 |
about 8 years ago |
0 |
|
0 |
|
Jupyter Notebook |
| A TensorFlow+Keras implementation of "Sample-level CNN Architectures for Music Auto-tagging Using Raw Waveforms" |
