Accessibility heuristics utilizing learnability characteristics of synthesized speech applications

Author(s):  
Ted L. Wattenberg
Keyword(s):  
1983 ◽  
Vol 26 (4) ◽  
pp. 516-524 ◽  
Author(s):  
Donald J. Sharf ◽  
Ralph N. Ohde

Adult and Child manifolds were generated by synthesizing 5 X 5 matrices of/Cej/ type utterances in which F2 and F3 frequencies were systematically varied. Manifold stimuli were presented to 11 graduate-level speech-language pathology students in two conditions: (a) a rating condition in which stimuli were rated on a 4-point scale between good /r/and good /w/; and (b) a labeling condition in which stimuli were labeled as "R," "W," "distorted R." or "N" (for none of the previous choices). It was found that (a) stimuli with low F2 and high F3 frequencies were rated 1.0nmdas;1.4; those with high F2 and low F3 frequencies were rated 3.6–4.0, and those with intermediate values were rated 1.5–3.5; (b) stimuli rated 1.0–1.4 were labeled as "W" and stimuli rated 3.6–4.0 were labeled as "R"; (c) none of the Child manifold stimuli were labeled as distorted "R" and one of the Adult manifold stimuli approached a level of identification that approached the percentage of identification for "R" and "W": and (d) rating and labeling tasks were performed with a high degree of reliability.


2002 ◽  
Vol 87 (2) ◽  
pp. 411-417 ◽  
Author(s):  
Steven E. Stern ◽  
John W. Mullennix ◽  
Stephen J. Wilson

Author(s):  
John W. Mullennix ◽  
Steven E. Stern

A frequently overlooked form of CMC is computer synthesized speech (CSS). Although the first CSS systems were rather crude and unintelligible, newer systems are fairly intelligible and are widely used for a number of applications, most importantly as aids for the speaking or visually disabled. In this chapter, we briefly review the development of CSS technology and discuss the work on perception and comprehension of CSS. Then, we examine how CSS use influences interactions between disabled people and nondisabled people. We conclude by emphasizing that the development of CSS systems should take into account various social psychological factors rooted in prejudice and stigma of the disabled.


2013 ◽  
Vol 9 (2) ◽  
pp. 66-88 ◽  
Author(s):  
Ladislav Kunc ◽  
Zdenek Míkovec ◽  
Pavel Slavík

Turn-taking and turn-yielding phenomena in dialogs receive increasing attention nowadays. A growing number of spoken dialog systems inspire application designers to humanize people’s interaction experience with computers. The knowledge of psychology in discourse structure could be helpful in this effort. In this paper the authors explore effectiveness of selected visual and vocal turn-yielding cues in dialog systems using synthesized speech and an avatar. The aim of this work is to detect the role of visual and vocal cues on dialog turn-change judgment using a conversational agent. The authors compare and study the cues in two experiments. Findings of those experiments suggest that the selected visual turn-yielding cues are more effective than the vocal cues in increasing correct judgment of dialog turn-change. Vocal cues in the experiment show quite poor results and the conclusion discusses possible explanations of that.


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