Abstract. This paper presents evaluation results of a method for tracking speakers in seminars from multiple cameras. First, 2D human tracking and detection is done for each view. ...
Bo Wu, Vivek Kumar Singh, Ram Nevatia, Chi-Wei Chu
In this paper we describe the AMIDA speaker dizarization system as it was submitted to the NIST Rich Transcription evaluation 2007 for conference room data. This is done in the con...
In this paper we describe a methodology for detecting preposition errors in the writing of non-native English speakers. Our system performs at 84% precision and close to 19% recal...
When automatic speech recognition (ASR) and speaker verification (SV) are applied in adverse acoustic environments, endpoint detection and energy normalization can be crucial to th...
In this paper, we consider the problem of speaker verification as a two-class object detection problem in computer vision, where the object instances are 1-D short-time spectral v...