March 5, 2024, 2 p.m. | Anthony Alford

InfoQ - AI, ML & Data Engineering www.infoq.com

Amazon Science recently published their work on Big Adaptive Streamable TTS with Emergent abilities (BASE TTS). BASE TTS supports voice-cloning and outperforms baseline TTS models when evaluated by human judges. Further, Amazon's experiments show that scaling model and data size improves the subjective quality of the model's output.

By Anthony Alford

ai amazon anthony base tts big billion cloning data deep learning human judges ml & data engineering natural language processing neural networks quality scaling science show speech tts voice work

More from www.infoq.com / InfoQ - AI, ML & Data Engineering

Software Engineer for AI Training Data (School Specific)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Python)

@ G2i Inc | Remote

Software Engineer for AI Training Data (Tier 2)

@ G2i Inc | Remote

Data Engineer

@ Lemon.io | Remote: Europe, LATAM, Canada, UK, Asia, Oceania

Artificial Intelligence – Bioinformatic Expert

@ University of Texas Medical Branch | Galveston, TX

Lead Developer (AI)

@ Cere Network | San Francisco, US