A groundbreaking open-source speech translation pipeline achieves near-seamless audio-visual translation. The system translates video from English to Telugu, meticulously preserving the speaker’s original voice characteristics while perfectly synchronizing lip movements with the translated audio. The sophisticated architecture leverages several key AI models: Whisper handles transcription, NLLB provides translation, Meta’s MMS handles speech synthesis, and Retrieval-based Voice Conversion (RVC) ensures voice preservation. Lip-sync accuracy is achieved via Wav2Lip. The project’s creator has detailed their development process, including the hurdles encountered and alternative strategies explored. This development represents a significant leap forward in speech translation and voice cloning, demonstrating the potential for highly realistic and accessible multilingual communication.
AI Pipeline Seamlessly Translates Speech, Preserves Voice, and Syncs Lip Movements
