speech-synthesis

Open singing synthesis platform / Open source UTAU successor

Foundational model for human-like, expressive TTS

A TensorFlow implementation of Google's Tacotron speech synthesis with pre-trained model (unofficial)

Vietnamese TTS with instant voice cloning • On-device • Real-time CPU inference • 24kHz audio quality • Chuyển văn bản thành giọng nói tiếng Việt • Text to speech tiếng Việt • TTS tiếng Việt

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

An open-source ChatGPT app with a voice

Controllable and fast Text-to-Speech for over 7000 languages!

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

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

Speech Note Linux app. Note taking, reading and translating with offline Speech to Text, Text to Speech and Machine translation.

Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP

Custom nodes that extend the capabilities of Comfyui

Self-host the powerful Chatterbox TTS model. This server offers a user-friendly Web UI, flexible API endpoints (incl. OpenAI compatible), predefined voices, voice cloning, and large audiobook-scale text processing. Runs accelerated on NVIDIA (CUDA), AMD (ROCm), and CPU.

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.

A voice control - voice commands - speech recognition and speech synthesis javascript library. Create your own siri,google now or cortana with Google Chrome within your website.

AI Vtuber for Streaming on Youtube/Twitch

A Non-Autoregressive Text-to-Speech (NAR-TTS) framework, including official PyTorch implementation of PortaSpeech (NeurIPS 2021) and DiffSpeech (AAAI 2022)

Confucius4-TTS: a Multilingual and Cross-Lingual Zero-Shot TTS Engine

The J.A.R.V.I.S. Speech API is designed to be simple and efficient, using the speech engines created by Google to provide functionality for parts of the API. Essentially, it is an API written in Java, including a recognizer, synthesizer, and a microphone capture utility. The project uses Google services for the synthesizer and recognizer. While this requires an Internet connection, it provides a complete, modern, and fully functional speech API in Java.