deepspeech
Speech Transcriber
Enables speech-to-text transcription using a pre-trained Deep Speech model in MATLAB.
This repo provides the pretrained DeepSpeech model in MATLAB. The model is compatible with transfer learning and C/C++ code generation.
7 stars
6 watching
4 forks
Language: MATLAB
last commit: over 1 year ago audiodeep-learningdeploymentmatlabmatlab-deep-learningpretrained-modelsspeech-to-texttransfer-learning
Related projects:
Repository | Description | Stars |
---|---|---|
| Enables speech-to-text transcription using a pre-trained neural network model in MATLAB. | 7 |
| An implementation of deep learning transformer models in MATLAB | 209 |
| Provides pre-trained and customizable semantic segmentation model in MATLAB | 23 |
| A collection of MATLAB-based deep learning models and tools for source separation tasks in audio processing | 366 |
| Provides an interface to Mozilla's DeepSpeech TensorFlow-based Speech-to-Text library using V bindings. | 49 |
| Source code repository for a book on deep learning in MATLAB, providing practical examples and implementations. | 39 |
| Pretrained deep learning object detection model for image analysis in MATLAB | 50 |
| Provides pre-trained deep learning model for semantic segmentation of 3D point clouds using SalsaNext architecture | 14 |
| A Matlab toolbox for supervised speech separation using deep neural networks | 45 |
| A deep learning-based speech recognition system built on top of PyTorch Lightning. | 2,109 |
| A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |
| A Matlab implementation of a two-layer perceptron to recognize handwritten digits from the MNIST dataset. | 60 |
| A deep learning model implementation of the DeepLab ResNet architecture for image segmentation tasks. | 602 |
| Provides a flexible and configurable framework for training deep learning models with PyTorch. | 1,196 |
| Connects MATLAB to LLM APIs for natural language processing capabilities | 119 |