Candidacy of physiological measurements for implicit control of emotional speech synthesis

Authors:
Shannon Hennig
Affiliations:
Italian Institute of Technology, Genoa, Italy
Venue:
ACII'11 Proceedings of the 4th international conference on Affective computing and intelligent interaction - Volume Part II
Year:
2011

Citing 4
Cited 0

A computational model for the automatic recognition of affect in speech

A computational model for the automatic recognition of affect in speech
Developments in Corpus-Based Speech Synthesis: Approaching Natural Conversational Speech

IEICE - Transactions on Information and Systems
How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books)

How the Body Shapes the Way We Think: A New View of Intelligence (Bradford Books)
Using noninvasive wearable computers to recognize human emotions from physiological signals

EURASIP Journal on Applied Signal Processing

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Abstract

There is a need for speech synthesis to be more emotionally expressive. Implicit control of a subset of affective vocal effects could be advantageous for some applications. Physiological measures associated with autonomic nervous system (ANS) activity are potential candidates for such input. This paper describes a pilot study investigating physiological sensor readings as potential input signals for modulating the speech synthesis of affective utterances composed by human users. A small corpus of audio, heart rate, and skin conductance data has been collected from eight doctoral student oral defenses. Planned analysis and research phases are outlined.