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https://github.com/balavenkatesh3322/audio-pretrained-model
A collection of Audio and Speech pre-trained models.
https://github.com/balavenkatesh3322/audio-pretrained-model
audio audio-processing caffe keras keras-models keras-tensorflow machine-learning mxnet neural-network pre-trained pre-trained-model pre-training python3 pytorch pytorch-models speech-recognition speech-to-text tensorflow tensorflow-models
Last synced: 3 months ago
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A collection of Audio and Speech pre-trained models.
- Host: GitHub
- URL: https://github.com/balavenkatesh3322/audio-pretrained-model
- Owner: balavenkatesh3322
- License: mit
- Created: 2020-07-18T11:06:43.000Z (over 4 years ago)
- Default Branch: master
- Last Pushed: 2020-07-21T01:47:52.000Z (over 4 years ago)
- Last Synced: 2024-09-30T17:05:14.033Z (3 months ago)
- Topics: audio, audio-processing, caffe, keras, keras-models, keras-tensorflow, machine-learning, mxnet, neural-network, pre-trained, pre-trained-model, pre-training, python3, pytorch, pytorch-models, speech-recognition, speech-to-text, tensorflow, tensorflow-models
- Homepage:
- Size: 134 KB
- Stars: 180
- Watchers: 3
- Forks: 24
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
- project-awesome - balavenkatesh3322/audio-pretrained-model - A collection of Audio and Speech pre-trained models. (Others)
README
# Audio and Speech Pre-trained Models
## What is pre-trained Model?
A pre-trained model is a model created by some one else to solve a similar problem. Instead of building a model from scratch to solve a similar problem, we can use the model trained on other problem as a starting point. A pre-trained model may not be 100% accurate in your application.
## Other Pre-trained Models
* [NLP Pre-trained Models](https://github.com/balavenkatesh3322/NLP-pretrained-model).
* [Computer Vision Pre-trained Models](https://github.com/balavenkatesh3322/CV-pretrained-model)
### Framework
* [Tensorflow](#tensorflow)
* [Keras](#keras)
* [PyTorch](#pytorch)
* [MXNet](#mxnet)
* [Caffe](#caffe)
### Model visualization
You can see visualizations of each model's network architecture by using [Netron](https://github.com/lutzroeder/Netron).
| Model Name | Description | Framework |
| :---: | :---: | :---: |
| [Wavenet]( https://github.com/ibab/tensorflow-wavenet) | This is a TensorFlow implementation of the WaveNet generative neural network architecture for audio generation. | `Tensorflow`
| [Lip Reading]( https://github.com/astorfi/lip-reading-deeplearning) | Cross Audio-Visual Recognition using 3D Architectures in TensorFlow | `Tensorflow`
| [MusicGenreClassification]( https://github.com/mlachmish/MusicGenreClassification) | Academic research in the field of Deep Learning (Deep Neural Networks) and Sound Processing, Tel Aviv University. | `Tensorflow`
| [Audioset](https://github.com/tensorflow/models/tree/master/research/audioset) | Models and supporting code for use with AudioSet. | `Tensorflow`
| [DeepSpeech]( https://github.com/tensorflow/models/tree/master/research/deep_speech) | Automatic speech recognition. | `Tensorflow`
***
| Model Name | Description | Framework |
| :---: | :---: | :---: |
| [Ultrasound nerve segmentation]( https://github.com/jocicmarko/ultrasound-nerve-segmentation) | This tutorial shows how to use Keras library to build deep neural network for ultrasound image nerve segmentation. | `Keras`
***
| Model Name | Description | Framework |
| :---: | :---: | :---: |
| [espnet]( https://github.com/espnet/espnet) | End-to-End Speech Processing Toolkit espnet.github.io/espnet | `PyTorch`
| [TTS]( https://github.com/mozilla/TTS) | Deep learning for Text2Speech | `PyTorch`
| [Neural Sequence labeling model]( https://github.com/jiesutd/NCRFpp) | Sequence labeling models are quite popular in many NLP tasks, such as Named Entity Recognition (NER), part-of-speech (POS) tagging and word segmentation. | `PyTorch`
| [waveglow]( https://github.com/NVIDIA/waveglow) | A Flow-based Generative Network for Speech Synthesis. | `PyTorch`
| [deepvoice3_pytorch]( https://github.com/r9y9/deepvoice3_pytorch) | PyTorch implementation of convolutional networks-based text-to-speech synthesis models. | `PyTorch`
| [deepspeech2]( https://github.com/SeanNaren/deepspeech.pytorch) | Implementation of DeepSpeech2 using Baidu Warp-CTC. Creates a network based on the DeepSpeech2 architecture, trained with the CTC activation function. | `PyTorch`
| [loop]( https://github.com/facebookarchive/loop) | A method to generate speech across multiple speakers. | `PyTorch`
| [audio]( https://github.com/pytorch/audio) | Simple audio I/O for pytorch. | `PyTorch`
| [speech]( https://github.com/awni/speech) | PyTorch ASR Implementation. | `PyTorch`
| [samplernn-pytorch]( https://github.com/deepsound-project/samplernn-pytorch) | PyTorch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model. | `PyTorch`
| [torch_waveglow]( https://github.com/npuichigo/waveglow) | A PyTorch implementation of the WaveGlow: A Flow-based Generative Network for Speech Synthesis. | `PyTorch`
***
| Model Name | Description | Framework |
| :---: | :---: | :---: |
| [deepspeech]( https://github.com/samsungsds-rnd/deepspeech.mxnet) | This example based on DeepSpeech2 of Baidu helps you to build Speech-To-Text (STT) models at scale using | `MXNet`
| [mxnet-audio]( https://github.com/chen0040/mxnet-audio) | Implementation of music genre classification, audio-to-vec, song recommender, and music search in mxnet. | `MXNet`
***
| Model Name | Description | Framework |
| :---: | :---: | :---: |
| [Speech Recognition](https://github.com/pannous/caffe-speech-recognition) | Speech Recognition with the caffe deep learning framework. | `Caffe`
***
## Contributions
Your contributions are always welcome!!
Please have a look at contributing.md
## License
[MIT License](LICENSE)