🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
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Updated
Jun 12, 2024 - Python
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
An easy-to-use React.js component that leverages the Web Speech API to convert text to speech.
A small browser extension that adds the ability to voice text. Online TTS in Russian, Ukrainian, Turkish and English
Official repository of my Master's Thesis project: "Developing an AI-Powered Voice Assistant for an iOS Payment App"
Command-line interface and Python library to transcribe pinyin to IPA. The tones are attached to the vowel of the syllable.
Open singing synthesis platform / Open source UTAU successor
MARS5 speech model (TTS) from CAMB.AI
A list of recommended voices for the Web Speech API
End-to-End Speech Processing Toolkit
eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.
Speech Note Linux app. Note taking, reading and translating with offline Speech to Text, Text to Speech and Machine translation.
Software Automatic Mouth - Tiny Speech Synthesizer
🧠 Leon is your open-source personal assistant.
[AAAI 2024] Code for CTX-vec2wav in UniCATS
An opensource text-to-speech (TTS) voice building tool
Multilingual and Controllable Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart.
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
Source code for the paper "Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS" by Angrick et al.
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