MultiLingo

Objective:
Develop a proof-of-concept (POC) that showcases the capabilities of AI in meeting summarization and dubbing by leveraging advanced language models and voice cloning techniques.

Key Components:

1. Speech-to-Text Transcription:

   • Utilize the Whisper model (https://replicate.com/thomasmol/whisper-diarization) for accurate speech-to-text transcription of meeting audio.
   • Ensure the model handles multi-speaker segmentation and provides time-stamped transcriptions.

2. AI-Assisted Meeting Summarization:

   • Employ the Claude-opus language model to generate comprehensive meeting summaries based on the transcribed text.
   • Organize the summary into relevant headers, subheaders, and categorizations, such as:
     • Development of AI models
     • AI-assisted development
     • Release of GenAI-enabled products to the public
   • Remove speaker information to adhere to Caltham house rules and focus on the discussion content.

3. Voice Cloning and Dubbing:

   • Integrate voice cloning models, such as the XTTS-v2 model (https://replicate.com/lucataco/xtts-v2), to emulate the speakers’ voices.
   • Combine the cloned voices with the summarized text to create dubbed versions of the meeting summary.
   • Explore speech-to-speech translation capabilities to enable dubbing in different languages.

Collaboration Opportunity:
We are actively seeking collaborators who are interested in contributing to this POC. If you have expertise in AI, natural language processing, speech recognition, or voice cloning and would like to be part of this exciting project, please follow the project