US 2025/0097385 A1 · MULTIMODAL MEETING SEGMENTATION

Abstract

One method for multimodal meeting segmentation includes receiving a meeting recording and a transcript, the meeting recording comprising a first media stream; generating, using a trained machine learning (“ML”) model, a first set of embeddings corresponding to the first media stream and a second set of embeddings corresponding to the transcript; generating a first set of segments based on the first set of embeddings and a second set of segments based on the second set of embeddings; generating a final set of segments based on the first and second sets of segments; and associating the final set of segments with the meeting recording and storing the final set of segments.

Claims20

Dependent claims

A method comprising:

receiving a meeting recording and a transcript, the meeting recording comprising a first media stream;
generating, using a trained machine learning (“ML”) model, a first set of embeddings corresponding to the first media stream and a second set of embeddings corresponding to the transcript;
generating a first set of segments based on the first set of embeddings and a second set of segments based on the second set of embeddings;
generating a final set of segments based on the first and second sets of segments;
and
associating the final set of segments with the meeting recording and storing the final set of segments.

3 more elements

A system comprising:

a non-transitory computer-readable medium;
and
one or more processors communicatively connected to the non-transitory computer-readable medium, the one or more processors configured to execute processor-executable instructions stored in the non-transitory computer-readable medium to cause the one or more processors to:
receive a meeting recording and a transcript, the meeting recording comprising a first media stream;
generate, using a trained machine learning (“ML”) model, a first set of embeddings corresponding to the first media stream and a second set of embeddings corresponding to the transcript;
generate a first set of segments based on the first set of embeddings and a second set of segments based on the second set of embeddings;
generate a final set of segments based on the first and second sets of segments;
and
associate the final set of segments with the meeting recording and storing the final set of segments.

6 more elements

A non-transitory computer-readable medium comprising processor-executable instructions configured to cause one or more processors to:

receive a meeting recording and a transcript, the meeting recording comprising a first media stream;
generate, using a trained machine learning (“ML”) model, a first set of embeddings corresponding to the first media stream and a second set of embeddings corresponding to the transcript;
generate a first set of segments based on the first set of embeddings and a second set of segments based on the second set of embeddings;
generate a final set of segments based on the first and second sets of segments;
and
associate the final set of segments with the meeting recording and storing the final set of segments.

3 more elements

Dependencies are inferred from the claim text.

Multimodal meeting segmentation

Life of this patent

Multimodal meeting segmentation

Life of this patent

Abstract

Claims20