FreeTTS - Speech Synthesizer in Java

•    Java

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FreeTTS is a speech synthesis system written entirely in the Java. It is based upon Flite, a small run-time speech synthesis engine developed at Carnegie Mellon University. Flite is derived from the Festival Speech Synthesis System from the University of Edinburgh and the FestVox project from Carnegie Mellon University. FreeTTS supports a subset of the JSAPI 1.0 java speech synthesis specification.

text-to-speech speech-recognition speech

p5.speech - Web Audio Speech Synthesis / Recognition for p5.js

•    Javascript

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p5.speech is a JavaScript library that provides simple, clear access to the Web Speech and Speech Recognition APIs, allowing for the easy creation of sketches that can talk and listen. It consists of two object classes (p5.Speech and p5.SpeechRec) along with accessor functions to speak and listen for text, change parameters (synthesis voices, recognition models, etc.), and retrieve callbacks from the system. Speech recognition requires launching from a server (e.g. a python simpleserver on a local machine).

audio speech-synthesis speech-recognition text-to-speech

chat.susi.ai - SUSI AI web client at https://chat.susi.ai/

•    Javascript

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Susi is an artificial intelligence system, combining pattern matching, internet data, data flow-, and inference engine principles. Through some abilities to reflect, it can remember the user input to produce deductions and personalized feedback. Its purpose is to explore the abilities of an artificial companion and to answer the remaining unanswered questions. The SUSI.AI web chat is a front-end developed for web access of SUSI. If you get speech output, then the Web API Speech Synthesis is supported by your browser and the text-to-speech features of SUSI Web Chat will work. The Web Speech API has support for all latest Chrome/-ium browsers as mentioned in the Web Speech API Mozilla docs. However there are a few bugs with some Chromium versions please check this link on how to fix them locally.

Flite - Fast Run time Synthesis Engine

•    C

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Flite (festival-lite) is a small, fast run-time synthesis engine developed at CMU and primarily designed for small embedded machines and/or large servers. Flite is designed as an alternative synthesis engine to Festival for voices built using the FestVox suite of voice building tools.

text-to-speech speech-recognition speech

stt-benchmark - speech to text benchmark framework

•    Python

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This is a minimalist and extensible framework for benchmarking different speech-to-text engines. It has been developed and tested on Ubuntu 18.04 with Python3.6. This framework has been developed by Picovoice as part of the project Cheetah. Cheetah is Picovoice's speech-to-text engine specifically designed for IoT applications. Deep learning has been the main driver in recent improvements in speech recognition. But due to stringent compute/storage limitations of IoT platforms it is most beneficial to the cloud-based engines. Picovoice's proprietary deep learning technology enables transferring these improvements to IoT platforms with much lower CPU/memory footprint. The goal is to be able to run Cheetah on any platform with a C Compiler and a few MB of memory.

speech-recognition speech-to-text deepspeech

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

•    Python

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Kalliope is a framework that will help you to create your own personal assistant. The concept is to create the brain of your assistant by attaching an input signal (vocal order, scheduled event, MQTT message, GPIO event, etc..) to one or multiple actions called neurons.

raspberry bot-creation jarvis personal-assistant speech-to-text speech-recognition speech-synthesis bot home-automation

DeepSpeech - A TensorFlow implementation of Baidu's DeepSpeech architecture

•    C

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Project DeepSpeech is an open source Speech-To-Text engine. It uses a model trained by machine learning techniques, based on Baidu's Deep Speech research paper. Project DeepSpeech uses Google's TensorFlow project to make the implementation easier.

deep-learning machine-learning neural-networks tensorflow speech-recognition speech-to-text

voice-elements - :speaker: Web Component wrapper to the Web Speech API, that allows you to do voice recognition and speech synthesis using Polymer

•    HTML

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Web Component wrapper to the Web Speech API, that allows you to do voice recognition (speech to text) and speech synthesis (text to speech) using Polymer. Or download as ZIP.

eSpeak - Text to Speech

•    C

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eSpeak is a compact open source software speech synthesizer for English and other languages. eSpeak uses a formant synthesis method. This allows many languages to be provided in a small size. It supports SAPI5 version for Windows, so it can be used with screen-readers and other programs that support the Windows SAPI5 interface. It can translate text into phoneme codes, so it could be adapted as a front end for another speech synthesis engine.

text-to-speech speech-recognition speech ssml

espnet - End-to-End Speech Processing Toolkit

•    Shell

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ESPnet is an end-to-end speech processing toolkit, mainly focuses on end-to-end speech recognition, and end-to-end text-to-speech. ESPnet uses chainer and pytorch as a main deep learning engine, and also follows Kaldi style data processing, feature extraction/format, and recipes to provide a complete setup for speech recognition and other speech processing experiments. To use cuda (and cudnn), make sure to set paths in your .bashrc or .bash_profile appropriately.

speech-recognition deep-learning end-to-end chainer pytorch kaldi speech-synthesis

Festival - Speech Synthesis System

•    C++

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Festival offers a general framework for building speech synthesis systems as well as including examples of various modules. It offers full text to speech through a APIs via shell and though a Scheme command interpreter. It has native support for Apple OS. It supports English and Spanish languages.

text-to-speech speech-recognition speech

HTK - Speech Recognition Toolkit

•    C

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The Hidden Markov Model Toolkit (HTK) is a portable toolkit for building and manipulating hidden Markov models. HTK is primarily used for speech recognition research although it has been used for numerous other applications including research into speech synthesis, character recognition and DNA sequencing. HTK is in use at hundreds of sites worldwide.

speech speech-recognition speech-to-text tools

MARY - Text-to-Speech System

•    Java

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MARY is an open-source, multilingual Text-to-Speech Synthesis platform written in Java. It supports German, British and American English, Telugu, Turkish, and Russian.

text-to-speech speech-recognition speech

Mycroft - an Artificial intelligence for everyone

•    Python

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Mycroft is an Artificial intelligence for everyone. It uses open software to process natural language, determine your intent and take action. It can integrate a host of professional functions – Control scenes to conserve power, grant office access with your voice. It can control all of your media and devices with the sound of your voice. Adjust your thermostat, turn on your lights, water your lawn, play your favorite movie and lot more.

ai nlp voice-assistant raspberry-pi natural-language-processing natural-language voice-as-an-interface artificial-intelligence personal-assistant speech-recognition

Speect - Multilingual text-to-speech (TTS) system

•    C

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Speect is a multilingual text-to-speech (TTS) system. It offers a full TTS system (text analysis which decodes the text, and speech synthesis, which encodes the speech) with various API’s, as well as an environment for research and development of TTS systems and voices.

text-to-speech text analysis speech

tacotron - A TensorFlow Implementation of Tacotron: A Fully End-to-End Text-To-Speech Synthesis Model

•    Python

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We train the model on three different speech datasets. LJ Speech Dataset is recently widely used as a benchmark dataset in the TTS task because it is publicly available. It has 24 hours of reasonable quality samples. Nick's audiobooks are additionally used to see if the model can learn even with less data, variable speech samples. They are 18 hours long. The World English Bible is a public domain update of the American Standard Version of 1901 into modern English. Its original audios are freely available here. Kyubyong split each chapter by verse manually and aligned the segmented audio clips to the text. They are 72 hours in total. You can download them at Kaggle Datasets.

tts tensorflow speech-synthesis-model speech

espeak - eSpeak NG is an open source speech synthesizer that supports 99 languages and accents.

•    C

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The eSpeak NG (Next Generation) Text-to-Speech program is an open source speech synthesizer that supports 100 languages and accents. It is based on the eSpeak engine created by Jonathan Duddington. It uses spectral formant synthesis by default which sounds robotic, but can be configured to use Klatt formant synthesis or MBROLA to give it a more natural sound. See the CHANGELOG for a description of the changes in the various releases and with the eSpeak project.

espeak-ng android espeak text-to-speech speech-synthesis

Talkie - Text-to-speech browser extension button

•    Javascript

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Talkie is a Text-to-speech browser extension button. It lets you listen to the selected text on any part of a page — short snippets or entire news articles. Just highlight what you want to hear read aloud and hit play. Automatically detects the text language per-page, and chooses a voice in the same language to match it. Support is available for Chrome and Firefox.

text-to-speech web-speech-api tts speech-synthesis browser-extension

sonus - :speech_balloon: /so.nus/ STT (speech to text) for Node with offline hotword detection

•    Javascript

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Sonus lets you quickly and easily add a VUI (Voice User Interface) to any hardware or software project. Just like Alexa, Google Now, and Siri, Sonus is always listening offline for a customizable hotword. Once that hotword is detected your speech is streamed to the cloud recognition service of your choice - then you get the results. Generally, running npm install should suffice. This module however, requires you to install SoX.

speech speech-recognition speech-to-text voice-control stt node hotword-detection keyword-spotting alexa voice-recognition keyword spotting hotword detection voice

merlin - This is now the official location of the Merlin project.

•    Python

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This repository contains the Neural Network (NN) based Speech Synthesis System developed at the Centre for Speech Technology Research (CSTR), University of Edinburgh.Merlin is a toolkit for building Deep Neural Network models for statistical parametric speech synthesis. It must be used in combination with a front-end text processor (e.g., Festival) and a vocoder (e.g., STRAIGHT or WORLD).

merlin speech-synthesis text-to-speech voice-conversion deep-learning theano tensorflow keras neural-networks