950 Open source projects that are alternatives of or similar to Openseq2seq

PyTorch Implementation of Google's Parallel Tacotron 2: A Non-Autoregressive Neural TTS Model with Differentiable Duration Modeling

Microsoft Bing Speech API client in node.js

Alan AI Cordova SDK adds a voice assistant or chatbot to your app.

A Generative Flow for Text-to-Speech via Monotonic Alignment Search

A PaddlePaddle implementation of ASR.

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

⦠ Angle: new speakable syntax for python 💡

A collection of Audio and Speech pre-trained models.

Голосовой ассистент Порфирьевич

Data Augmentation for Neural Machine Translation

Speech To Text in Android

Alan AI iOS SDK adds a voice assistant or chatbot to your app. Supports Swift, Objective-C.

DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices ranging from a Raspberry Pi 4 to high power GPU servers.

Attention, I'm Trying to Speak: End-to-end speech synthesis (CS224n '18)

Kim，你的私人语音助理。

SOVA ASR (Automatic Speech Recognition)

PyTorch Implementation of Google's Natural TTS Synthesis by Conditioning WaveNet on Mel Spectrogram Predictions. This implementation supports both single-, multi-speaker TTS and several techniques to enforce the robustness and efficiency of the model.

Examples on how to use Tinkoff Voicekit

PAddle PARAllel text-to-speech toolKIT (supporting WaveFlow, WaveNet, Transformer TTS and Tacotron2)

Phonetisaurus G2P

Alan AI Ionic SDK adds a voice assistant or chatbot to your app. Supports React, Angular.

Official implementation of EdiTTS: Score-based Editing for Controllable Text-to-Speech

Alan AI Flutter SDK adds a voice assistant or chatbot to your app.

Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.

Speech Recognition model based off of FAIR research paper built using Pytorch.

Library to build speech synthesis systems designed for easy and fast prototyping.

Pytorch seq2seq chatbot

An implementation of Tacotron 2 that supports multilingual experiments with parameter-sharing, code-switching, and voice cloning.

Neural HMMs are all you need (for high-quality attention-free TTS)

Brevitas: quantization-aware training in PyTorch

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

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

eSpeak NG is an open source speech synthesizer that supports 101 languages and accents.

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

Open tools and data for cloudless automatic speech recognition

Alan AI Web SDK adds a voice assistant or chatbot to your app. Supports React, Angular, Vue, Ember, JavaScript, Electron.

Covering grammars for English and Russian text normalization

End-to-End Speech Processing Toolkit

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

An open-source tool for sequence learning in NLP built on TensorFlow.

Connectionist Temporal Classification (CTC) decoder with dictionary and language model for TensorFlow.

⚡️ TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

An opensource text-to-speech (TTS) voice building tool

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

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

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

speech to text benchmark framework

语音api示例

curated collection of papers for the nlp practitioner 📖👩‍🔬

🗣 An overlay that gets your user’s voice permission and input as text in a customizable UI

Neural Machine Translation with Keras

💬 Speech to text, using the awesome engines readily available on the device.

Connectionist Temporal Classification (CTC) decoding algorithms: best path, prefix search, beam search and token passing. Implemented in Python.

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

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

A list of Neural MT implementations

Minimalist NMT for educational purposes

Sequence-to-Sequence learning using PyTorch

A PyTorch implementation of Tacotron2, an end-to-end text-to-speech(TTS) system described in "Natural TTS Synthesis By Conditioning Wavenet On Mel Spectrogram Predictions".