994 Open source projects that are alternatives of or similar to Speech-Recognition

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

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.

Automatic Speech Recognition (ASR), Speaker Verification, Speech Synthesis, Text-to-Speech (TTS), Language Modelling, Singing Voice Synthesis (SVS), Voice Conversion (VC)

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Haste: a fast, simple, and open RNN library

Speaker Diarization is the problem of separating speakers in an audio. There could be any number of speakers and final result should state when speaker starts and ends. In this project, we analyze given audio file with 2 channels and 2 speakers (on separate channels).

Efficient, transparent deep learning in hundreds of lines of code.

Nested LSTM Cell

DSTC6: End-to-End Conversation Modeling Track

Facebook AI Research's Automatic Speech Recognition Toolkit

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

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Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

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Online Hand Writing Recognition using BLSTM

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transformer for ASR-systerm (via tensorflow2.0)

PyTorch Implementations for End-to-End Automatic Speech Recognition

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

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

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

LSTM based human activity recognition using smart phone sensor dataset

A visualization tool for understanding and debugging RNNs

Load forcasting on Delhi area electric power load using ARIMA, RNN, LSTM and GRU models

Chinese Poetry Generation

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

A cute multi-layer LSTM that can perform like a human 🎶

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

A Bitcoin trade robot based on Tensorflow LSTM model.Just for fun.

UrbanSound classification using Convolutional Recurrent Networks in PyTorch

Natural Language Processing with TensorFlow, published by Packt

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

Enhanced BiLSTM Inference Model for Natural Language Inference

Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

End-to-end speech recognition on AISHELL dataset.

Official source code of "Fast Adaptive RNN Encoder-Decoder for Anomaly Detection in SMD Assembly Machine"

PyTorch implementation of Full Resolution Image Compression with Recurrent Neural Networks

Espresso: A Fast End-to-End Neural Speech Recognition Toolkit

Facebook AI Research's Automatic Speech Recognition Toolkit

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

End-to-End Speech Processing Toolkit

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

End-to-End Automatic Speech Recognition on PyTorch

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

RNN-LSTM that learns passwords from a starting list

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GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Extract mfcc vectors and phones from TIMIT dataset

Predicting price trends in cryptomarkets using an lstm-RNN for the use of a trading bot

基于RNN生成古诗

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

Hands-on in-person workshop for Deep Learning with TensorFlow

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)