918 Open source projects that are alternatives of or similar to Pytorch Asr

Modular and extensible speech recognition library leveraging pytorch-lightning and hydra.

HoloBot is a reusable 3D interface that allows HoloLens & VR users to interact with any bot using Mixed Reality & Speech.

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A Chinese Deep Speech Recognition System 包括基于深度学习的声学模型和基于深度学习的语言模型

Spokestack: give your React Native app a voice interface!

Gluon to PyTorch deep neural network model converter

Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge

PyTorch to Keras model convertor

MXNet implementation of RNN Transducer (Graves 2012): Sequence Transduction with Recurrent Neural Networks

WIP: pytorch FFI wrapper for Kaldi chain loss (a.k.a. Lattice Free MMI)

用python做计算机视觉，人工智能，机器学习，深度学习等

🙊 A set of scripts to use in preparing a corpus for speech-to-text processing with the Kaldi Automatic Speech Recognition Library.

Top level code to transcribe English audio/video files into text/subtitles

mixlingual speech recognition system; hybrid (GMM+NNet) model; Kaldi + Keras

how to use the Google Cloud Speech API to transcribe audio/video files.

Speech Recognition in Asterisk with Vosk Server

SDKs and docs for Skit's speech to text service

Open-Source Large Vocabulary Continuous Speech Recognition Engine

Classification with PyTorch.

scripts to align a given wave to its transcription using trained models by Kaldi

Use ctc to do chinese speech recognition by keras / 通过keras和ctc实现中文语音识别

UniSpeech - Large Scale Self-Supervised Learning for Speech

Korean speech recognition based on transformer (트랜스포머 기반 한국어 음성 인식)

speech-aligner，是一个从“人声语音”及其“语言文本”，产生音素级别时间对齐标注的工具。speech-aligner, is a tool that generate phoneme-level alignment between human speech and its transcription

Transformer implementation speciaized in speech recognition tasks using Pytorch.

Computer vision library for wildfire detection

Vietnamese Speech Recognition

Dockerfile for kaldi-gstreamer-server.

Computes the GMM-based Goodness of Pronunciation (GOP). Bases on Kaldi.

Automatic Speech Recognition in Unity.

24-hour Automatic Speech Recognition

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

语音识别理论，论文和PPT

Python interface to CMU Sphinxbase and Pocketsphinx libraries

End-to-End Speech Processing Toolkit

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).

Sequence-to-Sequence Framework in PyTorch

A PaddlePaddle implementation of ASR.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

On-device streaming speech-to-text engine powered by deep learning

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

⚡️ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

♾A curated list of papers and code about very deep neural networks

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

Speech Recognition model based off of FAIR research paper built using Pytorch.

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.

A Implementation of SpecAugment with Tensorflow & Pytorch, introduced by Google Brain

PyTorch CTC Decoder bindings

Silero Models: pre-trained STT models and benchmarks made embarrassingly simple

💬 /so.nus/ STT (speech to text) for Node with offline hotword detection

A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

PyTorch implementation of CNNs for CIFAR benchmark

Production First and Production Ready End-to-End Speech Recognition Toolkit

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

PyTorch to Keras model convertor

💬 Speech recognition for your site

The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

Program to benchmark various speech recognition APIs

Classification models trained on ImageNet. Keras.