1475 Open source projects that are alternatives of or similar to Vad

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.

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

End-to-end ASR/LM implementation with 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 neural network to generate captions for an image using CNN and RNN with BEAM Search.

End-2-end speech synthesis with recurrent neural networks

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

A live speech recognition using Facebooks wav2vec 2.0 model.

A gui for tesseractOCR with some preprocessing image options (OpenCV) for improve character recognition

nlp lecture-notes and source code

UniSpeech - Large Scale Self-Supervised Learning for Speech

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

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".

Attention-based multimodal fusion for sentiment analysis

🎙️ Handsfree Audio Development Interface

Source code of the model used in Tensorflow Speech Recognition Challenge (https://www.kaggle.com/c/tensorflow-speech-recognition-challenge). The solution ranked in top 5% in private leaderboard.

Speech-to-text and keyboard input captions for OBS.

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

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

Chinese Word Segmention Base on the Deep Learning and LSTM Neural Network

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

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

Распознавание речи русского языка используя Tensorflow, обучаясь на базе Voxforge

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

SOVA ASR (Automatic Speech Recognition)

Machine learning, in numpy

CNN, LSTM, NBOW, fasttext 中文文本分类

document classification using LSTM + self attention

an tutorial implement of voice conversion using pytorch

CRNN with attention to do OCR,add Chinese recognition

Seq2Seq, Bert, Transformer, WaveNet for time series prediction.

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

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

My Attempt(s) In The World Of ML/DL....

Voice control for your websites and applications

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

A proof-of-concept app using KeenASR SDK on Android. WE ARE HIRING: https://keenresearch.com/careers.html

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

Enhanced BiLSTM Inference Model for Natural Language Inference

Sorting numbers with pointer networks

Official repo of the article: Yousef, W. A., Ibrahime, O. M., Madbouly, T. M., & Mahmoud, M. A. (2019), "Learning meters of arabic and english poems with recurrent neural networks: a step forward for language understanding and synthesis", arXiv preprint arXiv:1905.05700

A MXNet implementation of Baidu's DeepSpeech architecture

Applying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021

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

Deep-learning models of NTUA-SLP team submitted in SemEval 2018 tasks 1, 2 and 3.

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

Deep Learning

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

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

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

Python interface to CMU Sphinxbase and Pocketsphinx libraries

Image captioning using attention models

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

📚 Text classification library with Keras

Docker image and scripts for training finetuned or completely personal Kaldi speech models. Particularly for use with kaldi-active-grammar.

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

This is a list of features, scripts, blogs and resources for better using Kaldi ( http://kaldi-asr.org/ )

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