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COQUI TTS
Deep learning text-to-speech with voice cloning and multi-speaker support
MPL-2.0
ABOUT
Most text-to-speech systems offer limited voice selection, robotic intonation, and no support for custom voices — developers must either accept generic voices or pay for expensive studio-recorded custom voice packs. Coqui TTS provides a full training and inference pipeline for neural TTS that supports fine-tuning on small voice samples (voice cloning), multi-speaker model training, and prosody control through pitch, speed, and emphasis parameters. Models can be trained on custom datasets with as little as 30 minutes of audio, and deployed for real-time streaming inference with minimal latency.
INSTALL
pip install TTSINTEGRATION GUIDE
1. Clone a specific voice from short audio samples to generate personalized speech for assistants and audiobooks
2. Train multi-speaker TTS models for dialogue systems and narration with distinct character voices
3. Deploy real-time speech synthesis for voice assistants and accessibility tools with low-latency streaming
4. Generate synthetic speech data for training speech recognition models and voice-based AI systems
TAGS
text-to-speechttsvoice-cloningspeech-synthesisdeep-learningpython