vspeech 
 Speech decoder
 Provides an interface to Mozilla's DeepSpeech TensorFlow-based Speech-to-Text library using V bindings.
📢 Complete V bindings for Mozilla's DeepSpeech TensorFlow based Speech-to-Text library. 📜
49 stars
 3 watching
 5 forks
 
Language: V 
last commit: almost 6 years ago 
Linked from   1 awesome list  
  deepspeechmachine-learningmozillaspeech-to-texttensorflowv 
 Related projects:
| Repository | Description | Stars | 
|---|---|---|
|    |  A lightweight library for reading and writing WAV files in V. | 39 | 
|    |  Enables speech-to-text transcription using a pre-trained Deep Speech model in MATLAB. | 7 | 
|    |  A toolkit for speech recognition on Arduino using C++ | 473 | 
|    |  A deep learning-based speech recognition system built on top of PyTorch Lightning. | 2,109 | 
|    |  A Java speech recognition system providing tools and frameworks for continuous audio input processing. | 1,411 | 
|    |  An implementation of text-to-speech synthesis using convolutional neural networks in PyTorch | 1,970 | 
|    |  A language and its implementation of a fast, concurrent, and highly performant Discord API wrapper | 20 | 
|    |  A deep learning-based speech-to-intent engine for on-device voice interaction | 633 | 
|    |  A PyTorch implementation of the Connectionist Temporal Classification (CTC) decoding algorithm for speech recognition and text analysis tasks. | 42 | 
|    |  A speech recognition system based on the DeepSpeech2 architecture | 259 | 
|    |  A tool that enables language workers to build speech recognition models using multiple systems, including Kaldi and Huggingface Transformers. | 152 | 
|    |  Deblurring technique using deep learning and Fourier transformation to remove image blur | 248 | 
|    |  An open-source PyTorch implementation of a visual semantic reasoning model for image-text matching | 294 | 
|    |  This project provides a PyTorch implementation of a singing voice separation algorithm using recurrent inference and skip-filtering connections. | 171 | 
|    |  A collection of tutorials and resources on implementing deep learning models using Python libraries such as Keras and Lasagne. | 426 |