speaker-encoder

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

Speaker embedding (d-vector) trained with GE2E loss

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

[InterSpeech 2020] "Improving the Speaker Identity of Non-Parallel Many-to-Many VoiceConversion with Adversarial Speaker Recognition" by Shaojin Ding, Guanlong Zhao, Ricardo Gutierrez-Osuna

Real-Time-Voice-Cloning using Generative Adversarial Networks. It combines text and speaker and generates natural sounding audio. Some Traditional Methods like Convolutional Neural Networks can contain some limitation it requires large datasets and lengthy processing time, to overcome these limitations we are using GANs to maximize space use.

🎤 Create high-quality text-to-speech audio using FastSpeech 2 in PyTorch. Easily customize for English and Mandarin with multi-speaker support.

Run Qwen3-TTS locally using Intel Arc GPUs and IPEX for fast, hardware-accelerated voice cloning.

Build low-latency voice agents using a modular pipeline with an OpenAI-compatible WebSocket API.