Automatic Speaker Recognition with Multi-Resolution Gaussian Mixture Models (MR-GMM)
نویسندگان
چکیده
منابع مشابه
Automatic Speaker Recognition Using Gaussian Mixture Speaker Models
• Speech conveys several levels of information. On a primary level, speech conveys the words or message being spoken, but on a secondary level, speech also reveals information about the speaker. The Speech Systems Technology group at Lincoln Laboratory has developed and experimented with approaches for automatically recognizing the words being spoken, the language being spoken, and the topic of...
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The current paper proposes skew Gaussian mixture models for speaker recognition and an associated algorithm for its training from experimental data. Speaker identification experiments were conducted, in which speakers were modeled using the familiar Gaussian mixture models (GMM), and the new skewGMM. Each model type was evaluated using two sets of feature vectors, the mel-frequency cepstral coe...
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Speaker identification is an important activity in the process of speaker diarization. We need to model the speaker by Gaussian mixture model (GMM) for speaker identification purpose. Large GMM is called as a Universal Background Model (UBM) which is adapted into each speaker model for speaker identification purpose. This paper focuses on speech clustering for speaker diarization. The speaker d...
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ژورنال
عنوان ژورنال: The International Journal of Forensic Computer Science
سال: 2009
ISSN: 1809-9807,1980-7333
DOI: 10.5769/j200901001