Concept based cross media indexing and retrieval of speech documents
US7716221B2 · kind B2 · utility
Inventors
Key dates
| Filing date | Jun 1, 2007 |
| Grant date | May 11, 2010 |
| Priority date | — |
| Expiry date | Apr 22, 2028 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06F16/3343
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Indexing, searching, and retrieving the content of speech documents (including but not limited to recorded books, audio broadcasts, recorded conversations) is accomplished by finding and retrieving speech documents that are related to a query term at a conceptual level, even if the speech documents does not contain the spoken (or textual) query terms. Concept-based cross-media information retrieval is used. A term-phoneme/document matrix is constructed from a training set of documents. Documents are then added to the matrix constructed from the training data. Singular Value Decomposition is used to compute a vector space from the term-phoneme/document matrix. The result is a lower-dimensional numerical space where term-phoneme and document vectors are related conceptually as nearest neighbors. A query engine computes a cosine value between the query vector and all other vectors in the space and returns a list of those term-phonemes and/or documents with the highest cosine value.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.