Python PyTorch TensorFlow Voice Cloning AI/ML
RegaLabs Voice Cloning
AI research and development for state-of-the-art one-shot voice cloning in the Kurdish language, achieving high-fidelity, fluent voice synthesis.
01 Technical Deep Dive
Leading AI R&D efforts at RegaLabs to fine-tune state-of-the-art models for one-shot voice cloning in the Kurdish language, achieving high-fidelity, natural-sounding audio synthesis.
RegaLabs Voice Cloning
This project focuses on the bleeding edge of speech synthesis and voice cloning for the Kurdish language.
R&D Highlights
- Deep Learning Architectures: Fine-tuning state-of-the-art text-to-speech (TTS) and voice conversion models using PyTorch and TensorFlow.
- Low-Resource Speech Synthesis: Overcoming challenges of low-resource languages to train high-fidelity, natural-sounding voice cloning from a single audio sample (one-shot).
- Audio Processing Pipeline: Building clean custom pre-processing and vocoder pipelines tailored for the phonetic properties of Kurdish.