Description
AudioNavigator is an AI-based solution for navigation, consultation, and intelligent search within audio content.
It transforms audio files—often difficult to explore and rich in unannotated information—into materials that are immediately searchable, structured, and understandable.
Features
- Automatic transcription of multilingual audio, with timestamps
- Speaker recognition (speaker diarization)
- Entity recognition (names, places, key terms)
- Generation of an abstract of the content
- Language detection within the audio
- Full-text search and direct jump to the corresponding point in the audio
- Metadata editing and export in standard formats (JSON, XML)
Architecture and Technologies
AudioNavigator acts as the consultation interface for the entire audio processing workflow. It relies on an AI system composed of:
- AudioProcessor: an AI component dedicated to metadata extraction. It receives an audio file via API and generates a JSON containing the transcription and extracted metadata through speech-to-text models and LLMs
- MetaAssistant: a platform that collects, stores, and organizes all metadata and makes it searchable.
As a result, the AudioNavigator interface allows users to listen to audio synchronized with the text, filter by entities, and quickly search for specific information.
Advantages
- Automatic cataloging of nearly the entire audio archive
- Multilingual audio transcription
- Drastic reduction in consultation time
- Scalability across thousands of hours of audio
- Consistency of generated metadata
- Much faster and more accurate search
Use Cases
- Preparation of conference proceedings
- Radio archives and oral history collections
- Multimedia collections of museums
- Educational portals and cultural platforms
- Interactive digital exhibitions and installations
- Digital storytelling projects