Filler word detection through tokenizing and labeling of transcripts
US12169691B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Apr 4, 2023 |
| Grant date | Dec 17, 2024 |
| Priority date | — |
| Expiry date | Apr 4, 2043 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG10L15/26
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Introduced here are computer programs and associated computer-implemented techniques for discovering the presence of filler words through tokenization of a transcript derived from audio content. When audio content is obtained by a media production platform, the audio content can be converted into text content as part of a speech-to-text operation. The text content can then be tokenized and labeled using a Natural Language Processing (NLP) library. Tokenizing/labeling may be performed in accordance with a series of rules associated with filler words. At a high level, these rules may examine the text content (and associated tokens/labels) to determine whether patterns, relationships, verbatim, and context indicate that a term is a filler word. Any filler words that are discovered in the text content can be identified as such so that appropriate action(s) can be taken.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.