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Spoken Word Search Analyzes Audio Content: Page 3 of 5

Searching of video files is possible with a search engine such as Podscope, but it can search only the audio portion of video files. True video search--that is, using face- and body-recognition techniques--is still an experimental technology and is not ready for widespread consumer use. And there are audio search engines that can find music based on a few notes or that can locate a snippet of audio within a collection of sound files, but these do not perform voice recognition.

Enterprise Value

For consumers and enterprise users, spoken-word search promises not just to find an audio file containing relevant content, but also to pinpoint the location of the relevant content within the audio file using a time index. This means that, after finding the correct audio file to listen to, a user could skip ahead to the appropriate portion of the audio file.

Besides the added functionality that accurate search of multimedia content brings to both consumers and enterprise users, spoken-word search could ease the burden placed on enterprise users creating multimedia content. Without spoken-word search, creating the necessary search data is no small challenge for content creators, who rely on metadata or text transcripts to make the content searchable.