593 Open source projects that are alternatives of or similar to torch-asg

End-to-end ASR/LM implementation with PyTorch

Lingvo

DELTA is a deep learning based natural language and speech processing platform.

ASR with PyTorch

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Neural conversational model in Torch

Syn.Speech is a flexible speaker independent continuous speech recognition engine for Mono and .NET framework

Open source projects related to Snips https://snips.ai/.

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

The official repository of the Eesen project

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition.

PyTorch implementation of beam search decoding for seq2seq models

Sequence-to-Sequence Framework in PyTorch

基于卷积神经网络的语音识别声学模型的研究

A Python wrapper for Kaldi

a deep accent recognition network

A list of publically available audio data that anyone can download for ASR or other speech activities

End-to-End speech recognition implementation base on TensorFlow (CTC, Attention, and MTL training)

A list of publically available audio data that anyone can download for ASR or other speech activities

A pytorch based end2end speech recognition system.

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Working online speech recognition based on RNN Transducer. ( Trained model release available in release )

End-to-End Automatic Speech Recognition on PyTorch

2019 Clova AI Hackathon : Speech - Rank 12 / Team Kai.Lib

An end-to-end system that performs temporal recognition of gesture sequences using speech and skeletal input. The model combines three networks with a CTC output layer that recognises gestures from continuous stream.

Audio-Visual Speech Recognition using Sequence to Sequence Models

an open-source implementation of sequence-to-sequence based speech processing engine

A repo listing known open source voice tools, ordered by where they sit in the voice stack

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

End-to-end trained speech recognition system, based on RNNs and the connectionist temporal classification (CTC) cost function.

Deep sentence embedding using Sequence to Sequence learning

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

SOVA ASR (Automatic Speech Recognition)

A live speech recognition using Facebooks wav2vec 2.0 model.

Transformer implementation speciaized in speech recognition tasks using Pytorch.

Extensible Android mobile voice framework: wakeword, ASR, NLU, and TTS. Easily add voice to any Android app!

Molecular optimization by capturing chemist’s intuition using the Seq2Seq with attention and the Transformer

SDKs and docs for Skit's speech to text service

PyTorch v1.2에서 생긴 Transformer API 를 이용한 간단한 Chitchat 챗봇

An implementation of the LRCN in Torch

Accompanying code for "A Simple Loss Function for Improving the Convergence and Accuracy of Visual Question Answering Models" CVPR 2017 VQA workshop paper.

Structural Equation Modeling using Torch

Neutron: A pytorch based implementation of Transformer and its variants.

A Simulation Framework for Auditory Discrimination Experiments

Scripts for LIUM SpkDiarization tools

Implementation of MelNet in PyTorch to generate high-fidelity audio samples

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

Implementation of seq2seq model for Visual Storytelling Challenge (VIST) http://visionandlanguage.net/VIST/index.html

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

An application to cycle (bounce) all nodes in a coordinated fashion in an AWS ASG or set of related ASGs

a simple php implementation of a Nabaztag server

Tensorflow based Neural Conversation Models

Deep Learning for Computer Vision (CommE 5052) in NTU

The Hidden Markov Model Toolkit (HTK) from University of Cambridge, with fixed issues.

A collection of datasets for the purpose of emotion recognition/detection in speech.

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Embedding模型代码和学习笔记总结

A Keras library for multi-step time-series forecasting.