Using quality measures for multilevel speaker recognition

Using quality measures for multilevel speaker recognition

The use of quality information for multilevel speaker recognition systems is addressed in this contribution. From a definition of what constitutes a quality measure, two applications are proposed at different phases of the recognition process: scoring and multi-level fusion stages. The traditional likelihood scoring stage is further developed providing guidelines for the practical application o...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Impostor Detection in Speaker Recognition Using Confusion - Based Confidence Measures

Kyuhong Kim et al. 811 ABSTRACT⎯In this letter, we introduce confusion-based confidence measures for detecting an impostor in speaker recognition, which does not require an alternative hypothesis. Most traditional speaker verification methods are based on a hypothesis test, and their performance depends on the robustness of an alternative hypothesis. Compared with the conventional Gaussian mixt...

Speaker Independent Speech Recognition Using Hidden Markov Models for Persian Isolated Words

Audio-visual multilevel fusion for speech and speaker recognition

In this paper we propose a robust audio-visual speech-andspeaker recognition system with liveness checks based on audio-visual fusion of audio-lip motion and depth features. The liveness verification feature added here guards the system against advanced spoofing attempts such as manufactured or replayed videos. For visual features, a new tensor-based representation of lip motion features, extra...