359 Open source projects that are alternatives of or similar to Wavenet Stt

Voice activity detection (VAD) toolkit including DNN, bDNN, LSTM and ACAM based VAD. We also provide our directly recorded dataset.

PyTorch implementation of Listen Attend and Spell Automatic Speech Recognition (ASR).

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

Speech command recognition with capsule network & various NNs / KWS on Google Speech Command Dataset.

💬 Speech recognition for your site

Vietnamese Speech Recognition

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

Kim，你的私人语音助理。

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

A bot built to record and transcribe audio fragments from Discord.

A free audio dataset of spoken digits. Think MNIST for audio.

Examples on how to use Tinkoff Voicekit

Stephanie is an open-source platform built specifically for voice-controlled applications as well as to automate daily tasks imitating much of an virtual assistant's work.

📁 This repo makes it easy to download the raw audio files from AudioSet (32.45 GB, 632 classes).

Sequence-to-Sequence Framework in PyTorch

🧠 Leon is your open-source personal assistant.

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

SEPIA server to support open-source speech recognition via WebSocket connection.

Open tools and data for cloudless automatic speech recognition

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

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN) with Pytorch

[wip]Speech recognition tool-box written by Nim. Based on Arraymancer.

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

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

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

SDKs and docs for Skit's speech to text service

Examples of how to use or integrate DeepSpeech

🔮 Word by word audio subtitle synchronisation tool and API. Developed under GSoC 2017 with CCExtractor.

Descriptive Deep Learning

Facebook AI Research's Automatic Speech Recognition Toolkit

libfaceid is a research framework for prototyping of face recognition solutions. It seamlessly integrates multiple detection, recognition and liveness models w/ speech synthesis and speech recognition.

Documentation and Wiki for SEPIA. Please post your questions and bug-reports here in the issues section! Thank you :-)

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 PyTorch implementation of DeepSpeech and DeepSpeech2.

Brevitas: quantization-aware training in PyTorch

speechpro.com/

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

Modular and extensible speech recognition library leveraging pytorch-lightning and hydra.

python powered Intelligent System

Word-accurate timestamps for Qur'anic audio.

speech to text benchmark framework

Updated ROS bindings to pocketsphinx

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

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

A Python wrapper for Kaldi

Library of state-of-the-art models (PyTorch) for NLP tasks

A Flutter plugin to use speech recognition on iOS & Android (Swift/Java)

Ritchie CLI formulas in Python 🐍

Offline private voice assistant for many human languages

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

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

Tracing back and exposing in chronological order the main ideas in the field of deep learning, to help everyone better understand the current intense research in AI.

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

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

💬 SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

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

The official repository of the Eesen project

💬 An On-Premises, Streaming Speech Recognition System

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

Offline speech recognition for Android with Vosk library.