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vector. In this paper we propose a novel approach for modeling higher order N-grams using an SVM via an alternating filter-wrapper feature selection method. We demonstrate the effectiveness of this technique on the NIST 2007 language recognition task.
) performance improvement. This leads our high-level speaker verification system (i.e., fusion of non-conditioned and keyword-conditioned phonetic speaker verification systems) to currently achieve the best published result for the English 8-conversation enrollment telephony task of the 2008 NIST Speaker Recognition Evaluation for
student appearances, which are linked to extracted headshots to create a visual speaker index. Videos are augmented with time-aligned filtered keywords and phrases from highly inaccurate speech transcripts. An experimental user interface (UI) combines streaming videos, visual, and textual indices for browsing and searching
This study analyzes the effect of stress in human and automatic stressed speech processing tasks for speech collected from non-professional speakers. The database of 33 keywords is collected under five stress conditions, namely, neutral, angry, happy, sad and Lombard from fifteen speakers. The first study is to
Automatic speaker recognition is one of the difficult tasks in the field of computer speech and speaker recognition. Speaker recognition is a biometric process of automatically recognizing who is speaking on the basis of speaker dependent features of the speech signal. Currently, speaker recognition system is an
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