1781 Open source projects that are alternatives of or similar to Delta

End-to-end ASR/LM implementation with PyTorch

Lingvo

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

End-to-End Automatic Speech Recognition on PyTorch

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

Implementation of a seq2seq model for Speech Recognition using the latest version of TensorFlow. Architecture similar to Listen, Attend and Spell.

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

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

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

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

A Python wrapper for Kaldi

Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version implemented in ONNX.

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

A live speech recognition using Facebooks wav2vec 2.0 model.

Embedding, NMT, Text_Classification, Text_Generation, NER etc.

Sequence-to-Sequence Framework in PyTorch

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

Spokestack: give your React Native app a voice interface!

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

ASR with PyTorch

kaldi-asr/kaldi is the official location of the Kaldi project.

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

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.

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

UniSpeech - Large Scale Self-Supervised Learning for Speech

A pytorch based end2end speech recognition system.

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

Auto Segmentation Criterion (ASG) implemented in pytorch

SOVA ASR (Automatic Speech Recognition)

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

Offline speech recognition for Android with Vosk library.

WebSocket, gRPC and WebRTC speech recognition server based on Vosk and Kaldi libraries

pytorch实现bert做seq2seq任务，使用unilm方案,现在也可以做自动摘要，文本分类，情感分析，NER，词性标注等任务,支持GPT2进行文章续写。

TextBox is an open-source library for building text generation system.

Python interface to CMU Sphinxbase and Pocketsphinx libraries

Automatically constructing corpus for automatic speech recognition from YouTube videos

Pytorch seq2seq chatbot

Snips NLU rust implementation

Snips Python library to extract meaning from text

Open tools and data for cloudless automatic speech recognition

Automatic Speech Recognition in Unity.

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

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, information extraction (i.e., entity, relation and event extraction), knowledge graph, text generation, network embedding

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application.

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

Python library for handling audio datasets.

Sequence to sequence learning using TensorFlow.

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

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

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.

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

Vietnamese Speech Recognition

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

A scalable inference server for models optimized with OpenVINO™

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

Offline speech recognition API for Android, iOS, Raspberry Pi and servers with Python, Java, C# and Node

🎯🗯 Generate datasets for AI chatbots, NLP tasks, named entity recognition or text classification models using a simple DSL!

Natural Language Processing Best Practices & Examples

CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition

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