The paper presents our recent work on the acoustic and physiological feature analysis of affective speech. An affective speech corpus is first built up. It contains passages read in neutral state and ten typical affective states selected in Pleasure Arousal Dominance (PAD) space. Physiological data, including electrocardiogram, respiration, electro dermal data, and finger pulse, are also collec...

A paradigm for automatic speech recognition using networks of actions performing variable depth analysis is presented. The paradigm produces descriptions of speech properties that are related to speech units through Markov models representing system performance. Preliminary results in the recognition of isolated letters and digits are presented. 1. I N T R O D U C T I O N Recent results on Auto...

Performance on automatic speech recognition (ASR) systems for users with physical disabilities varies widely between individuals. The goal of this study was to discover some key factors that account for that variation. Using data from 23 experienced ASR users with physical disabilities, the effect of 20 different independent variables on recognition accuracy and text entry rate with ASR was mea...

It is well understood that the speech databases play a very important role for speech recognition. It is a dream for speech recognition researchers to create more useful databases with smaller efforts. To achieve this goal, the database should be well designed at first, and tools and more information should be provided so that the databases can be made full use of. This paper will illustrate th...

In automatic speech analysis, voicing articulatory is often defined as a binary decision: voiced or unvoiced. Linguists agree that this articulatory should be continuous. In this paper, we present a new approach to compute a continuous voicing indicator of a speech frame. This voicing percentage is then evaluated in both a segmentation process and a speech recognition task. Promising results sh...