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Online Speaker Diarization

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F14%3A43923808" target="_blank" >RIV/49777513:23520/14:43923808 - isvavai.cz</a>

  • Result on the web

    <a href="http://hdl.handle.net/11025/21259" target="_blank" >http://hdl.handle.net/11025/21259</a>

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Online Speaker Diarization

  • Original language description

    In automatic speech processing, speaker diarization is the task of distinguishing between different speakers within an audio recording and identifying the intervals in which they are active, or in other words, determining “Who spoke when?”. This is generally done without any prior knowledge about the actual identities and number of speakers. The information obtained from speaker diarization can be used in several areas, such as audio indexing and searching or for improving the performance of speech recognition systems. Some of these areas require the diarization to be done online. This represents a more difficult variant of the task and generally leads to a worsened performance compared to offline systems. An online diarization system was created based on the one proposed by Markov and Nakamura (2007). The goal was to further improve its performance.

  • Czech name

  • Czech description

Classification

  • Type

    O - Miscellaneous

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2014

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů