31 best open source text to speech projects.

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MARY - Text-to-Speech System

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

Festvox - Builds New Synthetic Voices

The Festvox project aims to make the building of new synthetic voices more systemic and better documented, making it possible for anyone to build a new voice. Festvox is the base for most of the Speech Synthesis libraries.

text-to-speech speech-recognition speech

FreeTTS - Speech Synthesizer in Java

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

Festival - Speech Synthesis System

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

SpeakRight Framework - Helps to build Speech Recognition Applications

SpeakRight is an Java framework for writing speech recognition applications in VoiceXML. Dynamic generation of VoiceXML is done using the popular StringTemplate templating framework. Although VoiceXML uses a similar web architecture as HTML, the needs of a speech app are very different. SpeakRight lives in application code layer, typically in a servlet. The SpeakRight runtime dynamically generates VoiceXML pages, one per HTTP request.

text-to-speech speech-recognition speech voicexml java-framework framework

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

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

Kaldi - Speech Recognition Toolkit

Kaldi is a Speech recognition research toolkit. It is similar in aims and scope to HTK. The goal is to have modern and flexible code, written in C++, that is easy to modify and extend.

speech-recognition text-to-speech

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

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

Flite - Fast Run time Synthesis Engine

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

eSpeak - Text to Speech

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

Talkie - Text-to-speech browser extension button

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

Text To Speech

You write and the computer reads. This package contains Windows Application and Word Addin.

office-2007 openup text-to-speech

WP7 Text-to-Speech Tool & Translation Library

Windows Phone Text-to-Speech (wpTTS) produces speech from text strings. wpTTS also provides real-time translation between a select list of languages. (AppID required.)

mango metro text-to-speech tts windows-phone windows-phone-7

Read it to me!

Read it to me will allow you to load txt and rtf files and then speak them using SAPI 5 voices that are installed on your computer with an option to save the output as an mp3. This allows you to be able to read any text on the go. Even while you drive. Targets .net 4.0.

audio disabilities file-conversion mp3 sapi text-to-speech utilities

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

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

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

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

Ossian

Ossian is a collection of Python code for building text-to-speech (TTS) systems, with an emphasis on easing research into building TTS systems with minimal expert supervision. Work on it started with funding from the EU FP7 Project Simple4All, and this repository contains a version which is considerable more up-to-date than that previously available. In particular, the original version of the toolkit relied on HTS to perform acoustic modelling. Although it is still possible to use HTS, it now supports the use of neural nets trained with the Merlin toolkit as duration and acoustic models. All comments and feedback about ways to improve it are very welcome.This will create a directory called ./Ossian; the following discussion assumes that an environment variable $OSSIAN is set to point to this directory.

text-to-speech neural-networks

Sagen - Free, open-source TTS engine for .NET

Sagen (German for "to say") is my attempt at making a text-to-speech engine aimed at .NET developers who don't have thousands of dollars at their disposal to license a commercial speech synthesis solution. In many ways, it is an experiment and continual learning experience for me, as I am not an expert in speech science, phonetics, or vocal acoustics; I simply want to see how far I can go with original research, freely available resources, and lots of patience.There are tons of TTS engines out there already, but I feel like they're all missing something.

tts-engines speech-synthesis text-to-speech audio

TTS - Deep learning for Text2Speech

At the end, it should be easy to add new models and try different architectures. You can find here a brief note about possible TTS architectures and their comparisons.

deep-learning mozilla text-to-speech pytorch