Recognition Rate

The output of handwritten word recognizers (Wit) tends to be very noisy due to various factors. In order to compensate for this behaviour, several choices of the WR must be …...

This article describes the four systems sent by the author to the SENSEVAL-3 contest, the English lexical sample task. The best recognition rate ob- tained by one of these systems …...

. In this paper, we proposed a weighted discrete K-nearest neighbor (weighted D-KNN) classification algorithm for detecting and evaluating emotion from Mandarin speech. In the experiments of the emotion recognition, …...

This paper describes a novel approach to find evidence for implicit semantic roles. Our data-driven models generalize over large amounts of explicit annotations only, in order to acquire information about …...

AbstractVoice-driven communication aids are one of the methods commonly used by patients with dysarthria. However, this type of assistive devices demands a large amount of voice data from patients to …...

Deep learning-based automatic speech recognition (ASR) design has been grow- ing in popularity. Besides the ASR model depends on the reliable speech representa- tion offered by the self-supervised learn- ing …...