Using fNIRS to Characterize Human Perception of TTS System Quality , Comprehension , and Fluency : Preliminary Findings

Content Provider	Semantic Scholar
Author	Gupta, Rishabh Laghari, Khalil Ur Rehman Arndt, Sebastian Schleicher, Robert Moeller, Sebastian O’shaughnessy, D. Falk, Tiago H.
Copyright Year	2017
Abstract	The quality of synthesized speech signals from different Text-to-Speech (TTS) systems is traditionally evaluated using subjective tests based on user ratings. Subjective testing, however, is challenging due to the variability and complexity of human perception. As such, recently there has been a shift towards exploring new objective techniques to evaluate the quality of TTS systems. In this paper, we describe our initial effort of characterizing human TTS quality perception via neurophysiological insights obtained from a neuroimaging technology called functional Near Infrared Spectroscopy (fNIRS). This approach allowed for a link between the human decision making process and the quality of different TTS systems to be established. We showed significant correlations between perceived quality and several fNIRS features related to cerebral haemodynamics. These preliminary results have helped establish the potential of fNIRS as an important tool for evaluating the quality of TTS systems.
File Format	PDF HTM / HTML
Alternate Webpage(s)	http://www.isca-speech.org/archive/PQS_2013/pdfs/13.pdf
Language	English
Access Restriction	Open
Subject Keyword	Cerebral Infarction Decision Making Heart rate variability Hemodynamics List comprehension NetWare File System Neuroimaging Spectroscopy, Fourier Transform Infrared Speech synthesis
Content Type	Text
Resource Type	Article