151 Open source projects that are alternatives of or similar to benchmarkstt

RETIRED - OpenSTT is now retired. If you would like more information on Mycroft AI's open source STT projects, please visit:

Kalliope is a framework that will help you to create your own personal assistant.

A small Javascript library for browser-based real-time speech recognition, which uses Recorderjs for audio capture, and a WebSocket connection to the Kaldi GStreamer server for speech recognition.

Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

Let your talking do the code

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

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

Rev AI Python SDK

Speech to text (PocketSphinx, Iflytex API, Baidu API) and text to speech (pyttsx3) | 语音转文字（PocketSphinx、百度 API、科大讯飞 API）和文字转语音（pyttsx3）

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

Speech Recognition Using Tacotron

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

🐸STT - a deep learning toolkit for Speech-to-Text, battle-tested in research and production

An opensource speech-to-text software written in tensorflow

A live speech recognition using Facebooks wav2vec 2.0 model.

Golang bindings for Mozilla's DeepSpeech speech-to-text library

Python Kaldi speech recognition with grammars that can be set active/inactive dynamically at decode-time

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

A library for real-time voice processing in web browsers

A fully convolution-network for speech-to-text, built on pytorch.

Tensorflow Implementation of Expressive Tacotron

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

A merged version of multiple open-source German speech datasets.

Server & client for DeepSpeech using WebSockets for real-time speech recognition in separate environments

Making a TTS model with 1 minute of speech samples within 10 minutes

The Naomi Project is an open source, technology agnostic platform for developing always-on, voice-controlled applications!

基于Flask Web的中文自动语音识别演示系统,包含语音识别、语音合成、声纹识别之说话人识别。

A Keras CTC implementation of Baidu's DeepSpeech for model experimentation

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

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

Creating a software for automatic monitoring in online proctoring

Golang framework to build an AI that can understand and speak back to you, and everything else you want

Проект для распознавания речи на русском языке на основе pykaldi.

On-device speech-to-index engine powered by deep learning.

UIButton subclass with push to talk recording, speech recognition and Siri-style waveform view.

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

An overview of the AI-as-a-service landscape

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

Application of Connectionist Temporal Classification (CTC) for Speech Recognition (Tensorflow 1.0 but compatible with 2.0).

An Android app that offers speech-to-text services and user interfaces to other apps

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

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

speech to text with self-supervised learning based on wav2vec 2.0 framework

Lingvo

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

Voice control for your websites and applications

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

Mongolian speech recognition with PyTorch

Rev.ai Java SDK

B.E.N.J.I.- The Impossible Missions Force's digital assistant

🎙Speech recognition using the tensorflow deep learning framework, sequence-to-sequence neural networks

A PaddlePaddle implementation of ASR.

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

VOSK Speech Recognition Toolkit

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

It recognize your speech and trained AI Bot will respond(i.e Customer Service, Personal Assistant) using Machine Learning API (DialogFlow, apiai), Speech Recognition, GraphQL, Next.js, React, redux

Spokestack: give your React Native app a voice interface!

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

A testing server for a speech to text service based on mozilla deepspeech