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

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.😏

The simplest machine learning library for launching UIs, running evaluations, and comparing model performance.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

Word Sense Disambiguation using Word Specific models, All word models and Hierarchical models in Tensorflow

Implementation of abstractive summarization using LSTM in the encoder-decoder architecture with local attention.

💬 A list of End-to-End speech recognition, including papers, codes and other materials

Node.js SDK for the Rev AI API

keras attentional bi-LSTM-CRF for Joint NLU (slot-filling and intent detection) with ATIS

Generating image captions using Xception Network and Beam Search in Keras

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Pointer Networks Implementation in Keras

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

Gathers machine learning and Tensorflow deep learning models for NLP problems, 1.13 < Tensorflow < 2.0

Tensorflow RNN Tutorial

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"Caption This" is an iOS app that adds real-time captions to videos for Instagram Stories

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

Malicious URL detector using keras recurrent networks and scikit-learn classifiers

Presenting Collection of Pretrained Models. Links to pretrained models in NLP and voice.

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Annotation of ECG signals using deep learning, tensorflow’ Keras

User-space deniable data encryption client.

This package contains an OCR engine - libtesseract and a command line program - tesseract. Tesseract 4 adds a new neural net (LSTM) based OCR engine which is focused on line recognition, but also still supports the legacy Tesseract OCR engine of Tesseract 3 which works by recognizing character patterns. Compatibility with Tesseract 3 is enabled by using the Legacy OCR Engine mode (--oem 0). It also needs traineddata files which support the legacy engine, for example those from the tessdata repository.

KU_NERDY 이동엽, 임희석 (2017 국어 정보 처리 시스템경진대회 금상) - 한글 및 한국어 정보처리 학술대회

Spokestack: give your React Native app a voice interface!

A fast LSTM Language Model for large vocabulary language like Japanese and Chinese

Keyword spotting using various architecture like convolutional vggnet , 1D convolutional network and CTC.

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

A simple and lightweight JavaScript data processing tool. Live demo:

I used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.

Sarcasm Detection for Sentiment Analysis

Time series prediction with Sequential Model and LSTM units

中文语音识别系列，读者可以借助它快速训练属于自己的中文语音识别模型，或直接使用预训练模型测试效果。

A Tensorflow based implicit recommender system

A PyTorch implementation of the Deep Audio-Visual Speech Recognition paper.

Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".

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Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.

Aircraft engine failure prediction model

Practice your speech level in any language using speech recognition

A new fork base on tess-two and Tesseract 4.0.0

Rev AI Python SDK

Uses RNN on the Nietzsche dataset

Predict traffic flow with LSTM. For experimental purposes only, unsupported!

Optical character recognition Using Deep Learning

Code lab for deep learning. Including rnn,seq2seq,word2vec,cross entropy,bidirectional rnn,convolution operation,pooling operation,InceptionV3,transfer learning.

On-device voice activity detection (VAD) powered by deep learning.

Reusable CNN and RNN model doing time series binary classification

TensorFlow Implementation of TCN (Temporal Convolutional Networks)

TensorFlow-based implementation of "Attend, Infer, Repeat" paper (Eslami et al., 2016, arXiv:1603.08575).

document classification using LSTM + self attention

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

A Polymer 3+ webcomponent / button for doing speech recognition

HF's ML for Audio study group

Implementation of Deep Neural Networks in Keras and Tensorflow to classify motor imagery tasks using EEG data

[PAMI 2021] Gating Revisited: Deep Multi-layer RNNs That Can Be Trained