Artículos Relacionados con Speech Recognition

Microsoft Open-Sources Cutting-Edge Voice AI Family VibeVoice: Processes 90-Minute Multi-Speaker Conversations in One Go, Rapidly Gains 27K Stars on GitHub

Microsoft has open-sourced VibeVoice, a cutting-edge family of speech AI models for Automatic Speech Recognition (ASR) and Text-to-Speech (TTS). The project, gaining 27K stars on GitHub, offers powerful long-audio processing, multi-speaker dialogue generation, and real-time capabilities under an MIT license for local deployment. Key models include: - **VibeVoice-ASR-7B**: Processes up to 60 minutes of audio, outputs structured transcriptions with speaker identification, timestamps, and supports over 50 languages. - **VibeVoice-TTS-1.5B**: Generates expressive, 90-minute multi-speaker (up to 4 voices) conversations with natural flow and emotional nuance. - **VibeVoice-Realtime-0.5B**: Enables real-time TTS with ~300ms latency for interactive applications like voice assistants. The framework addresses limitations in long-sequence processing, speaker consistency, and naturalness. It includes safety features like audio watermarking and has sparked community-developed tools (e.g., a voice input method). Available on GitHub and Hugging Face, VibeVoice aims to advance innovation in content creation, accessibility, and voice interaction.

marsbit03/30 07:16