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

dc_tts - A TensorFlow Implementation of DC-TTS: yet another text-to-speech model

•    Python

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I implement yet another text-to-speech model, dc-tts, introduced in Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention. My goal, however, is not just replicating the paper. Rather, I'd like to gain insights about various sound projects. I train English models and an Korean model on four different speech datasets.

speech speech-to-text tts

aeneas - aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

•    Python

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aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment). aeneas automatically generates a synchronization map between a list of text fragments and an audio file containing the narration of the text. In computer science this task is known as (automatically computing a) forced alignment.

speech alignment tts nlp espeak espeak-ng festival cli dtw ffmpeg forced-alignment text audio srt smil text-to-speech

WP7 Text-to-Speech Tool & Translation Library

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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

Speech Server .NET

•    CSharp

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Speech Server .NET aims to add functionalities of Text-To-Speech (TTS) and Automatic Speech Recnognition (ASR) to handheld devices like Pocket PC and Smartphone, running Windows Mobile, that are wirelessly connected to a server. This server is able to generate a speech stream ...

speech asr compact-framework library mobile nectar

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

nodejs-speech - Node

•    Javascript

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The Cloud Speech API enables easy integration of Google speech recognition technologies into developer applications. Send audio and receive a text transcription from the Cloud Speech API service. Select or create a Cloud Platform project.

nodejs machine-learning speech-to-text speech google-apis-client google-api-client google-apis google-api google google-cloud-platform google-cloud cloud google-speech google-cloud-speech-api

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

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

gTTS - Python library and CLI tool to interface with Google Translate's text-to-speech API

•    Python

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See http://gtts.readthedocs.org/ for documentation and examples.

speech tts text-to-speech gtts

react-native-speech - A text-to-speech library for React Native.

•    Objective-C

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React Native Speech is a text-to-speech library for React Native. In order to use Speech, you must first link the library your project. There's excellent documentation on how to do this in the React Native Docs.

react-native react native siri speech speak speech-to-text react-component react-native-component

Voxx Speech Recognition Project

•    VB

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Written in VB 6 for Win98 and up. Our goal is to provide speech recognition and text to speech unlike any software currently in the market. Some features include TTS, Dictation using Microsoft SAPI 5.1 engines. Visit our Home Page for more info.

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

loop - A method to generate speech across multiple speakers

•    Python

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PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop. VoiceLoop is a neural text-to-speech (TTS) that is able to transform text to speech in voices that are sampled in the wild. Some demo samples can be found here.

loop - A method to generate speech across multiple speakers

•    Python

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PyTorch implementation of the method described in the paper VoiceLoop: Voice Fitting and Synthesis via a Phonological Loop. VoiceLoop is a neural text-to-speech (TTS) that is able to transform text to speech in voices that are sampled in the wild. Some demo samples can be found here.

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

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

node-sdk - :comet: Node.js library to access IBM Watson services.

•    TypeScript

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Node.js client library to use the Watson APIs. The examples folder has basic and advanced examples. The examples within each service assume that you already have service credentials.

ibm-watson-services language-translation conversation-service watson tone-analyzer natural-language visual-recognition personality-insights typescript conversation dialog discovery ibm natural-language-classifier natural-language-understanding speech-to-text text-to-speech tone_analyzer watson-developer-cloud wdc

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.