Information Extraction & Knowledge Access
Audio segmentation
Audio segmentation brings structure to sound material. By dividing audio into speakers, topics or fragments, relevant content becomes easier to find, describe and use for research, education and public access.
Audio material in archives, museums and heritage collections often contains valuable information: interviews, oral history, lectures, radio material or event recordings. At the same time, audio is often difficult to access. Long recordings take time to listen to and important passages are not always easy to find. With Audio segmentation, sound material is divided into separate meaningful parts, for example by speakers, topics, silences, transitions or content fragments.
From long recording to usable fragments
Audio segmentation divides sound recordings into smaller recognisable parts. A recording is no longer approached only as a whole, but as a series of fragments with their own content and meaning.
Better access to audio collections
By dividing audio into segments, specific passages, topics or voices become easier to find. This makes sound material more searchable and accessible.
Support for description and enrichment
Segmented audio provides a strong basis for further access. Fragments can be linked individually to timecodes, transcripts, keywords or additional metadata.
What it delivers
More overview in audio collections
Bring structure to long or complex recordings and make material easier to manage.
Find relevant passages faster
Search audio more precisely and find the fragments that matter.
Richer metadata and better access
Use segments as a basis for transcription, annotation and more precise description.
More usability for research and presentation
Make audio material easier to use for collection research, education and public projects.
Control and quality
AI does the preparatory work. Results remain reviewable and are configured around your sources, fields, terminology and quality criteria. Where relevant, the source or passage remains traceable. Your organisation decides what is adjusted, approved and ultimately used.
A concrete first step
We prefer to start with a clearly defined test set. Together we agree the required output, quality criteria and review flow. This shows what works before you scale up.