Research and train fast, high-quality SOTA TTS models for realistic voice generation.
Experiment with architectures and data to improve TTS quality and speed.
Stay up to date with research and propose improvements.
Collaborate with a 3-person TTS team; coordinate with engineering for deployment.

🎯 Requirements

Experience training text-to-speech and voice cloning models.
Knowledge of transformers, diffusion models, GANs.
Understanding of speech and audio processing (sampling, spectrograms, vocoders).
Python proficiency; PyTorch and Hugging Face Transformers.
Ability to read papers and implement approaches; strong ML fundamentals.
Familiarity with modern speech synthesis models (Vevo, StyleTTS, IndexTTS) and AWS.

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