🗣️ Enable text-to-speech with Qwen TTS, a simple API solution that seamlessly integrates into your applications using Docker and Home Assistant.

🔊 Generate high-quality, realistic speech with LuxTTS, a lightweight text-to-speech model for fast voice cloning and clear audio output.

🎤 Transform text into natural-sounding speech with Gemini-Live-TTS, offering real-time voice synthesis for diverse applications.

🔊 Convert text into MP3 audio files quickly, enhancing content, accessibility, and automation with clear, spoken audio.

🗣️ Deploy high-quality text-to-speech services with Gemini, OpenAI, and Microsoft Azure TTS on your own platform easily.

Generate AI-voiced short videos with synced subtitles using Python, ElevenLabs TTS, and FFmpeg for clear, automated social media and educational content.

Unofficial Pytorch Lightning Implementation of "Real-time Speech Frequency Bandwidth Extension"

zero-shot realtime TTS system, fully offline, free and open source

📝畢業專題 基於深度偽造實作之線上轉換平台 Implementation of online conversion platform based on deep fake

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

VocGAN: A High-Fidelity Real-time Vocoder with a Hierarchically-nested Adversarial Network

MelGAN with catalyst framework

MelGAN Multi GPU Implementation.

Source code for "Taming Visually Guided Sound Generation" (Oral at the BMVC 2021)

😝 TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch

Unofficial implementation of Multi-band MelGAN

A neural network (GAN) trained to apply metal screaming effects, turning vocals from songs, speeches or whispers into realistic screams and growls.

🤖 💬 Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts)

A fast Text-to-Speech (TTS) model. Work well for English, Mandarin/Chinese, Japanese, Korean, Russian and Tibetan (so far). 快速语音合成模型，适用于英语、普通话/中文、日语、韩语、俄语和藏语（当前已测试）。