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  2. Video search engine - Wikipedia

    en.wikipedia.org/wiki/Video_search_engine

    The main use of these search engines is the increasing creation of audiovisual content and the need to manage it properly. The digitization of audiovisual archives and the establishment of the Internet, has led to large quantities of video files stored in big databases, whose recovery can be very difficult because of the huge volumes of data and the existence of a semantic gap.

  3. Voice search - Wikipedia

    en.wikipedia.org/wiki/Voice_search

    Voice search is often interactive, involving several rounds of interaction that allows a system to ask for clarification. Voice search is a type of dialog system. Voice search is not a replacement for typed search. Rather the search terms, experience and use cases can differ heavily depending on the input type.

  4. Google Voice Search - Wikipedia

    en.wikipedia.org/wiki/Google_Voice_Search

    Google Voice Search was a tool from Google Labs that allowed someone to use their phone to make a Google query. After the user called (650) 623-6706, the number of Google Voice's search system, they would wait for the words Say your Search Keywords and then say the keywords. Next, they would either wait to have the page updated, or click on a ...

  5. The AOL.com video experience serves up the best video content from AOL and around the web, curating informative and entertaining snackable videos.

  6. Oral skills - Wikipedia

    en.wikipedia.org/wiki/Oral_skills

    Clarity in speaking is achieved by utilising oral skills. Oral skills strengthen a speakers ability to produce clear and crisp sounds. Using a variety of different oral skills the tonal modulation and articulation of voice. These oral skills include speaking in a moderate pace to produce intelligible speech that can be understood word for word.

  7. Controlled vocabulary - Wikipedia

    en.wikipedia.org/wiki/Controlled_vocabulary

    Controlled vocabularies are often claimed to improve the accuracy of free text searching, such as to reduce irrelevant items in the retrieval list. These irrelevant items (false positives) are often caused by the inherent ambiguity of natural language. Take the English word football for example.

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