TY - JOUR
T1 - Exploring Expressivity and Emotion
with Artificial Voice and Speech Technologies
AU - Pauletto, Sandra
AU - Balentine, Bruce
AU - Pidcock, Christopher
AU - Jones, Kevin
AU - Bottaci, Leonardo
AU - Aretoulaki, Maria
AU - Wells, Jez
AU - Mundy, Darren
AU - Balentine, James
PY - 2013/10
Y1 - 2013/10
N2 - Emotion in audio-voice signals, as synthesized by text-to-speech (TTS) technologies, was investigated to formulate a theory of expression for user interface design. Emotional parameters were specified with markup tags, and the resulting audio was further modulated with post-processing techniques. Software was then developed to link a selected TTS synthesizer with an automatic speech recognition (ASR) engine, producing a chatbot that could speak and listen. Using these two artificial voice subsystems, investigators explored both artistic and psychological implications of artificial speech emotion. Goals of the investigation were interdisciplinary, with interest in musical composition, augmentative and alternative communication (AAC), commercial voice announcement applications, human–computer interaction (HCI), and artificial intelligence (AI). The work-in-progress points towards an emerging interdisciplinary ontology for artificial voices. As one study output, HCI tools are proposed for future collaboration.
AB - Emotion in audio-voice signals, as synthesized by text-to-speech (TTS) technologies, was investigated to formulate a theory of expression for user interface design. Emotional parameters were specified with markup tags, and the resulting audio was further modulated with post-processing techniques. Software was then developed to link a selected TTS synthesizer with an automatic speech recognition (ASR) engine, producing a chatbot that could speak and listen. Using these two artificial voice subsystems, investigators explored both artistic and psychological implications of artificial speech emotion. Goals of the investigation were interdisciplinary, with interest in musical composition, augmentative and alternative communication (AAC), commercial voice announcement applications, human–computer interaction (HCI), and artificial intelligence (AI). The work-in-progress points towards an emerging interdisciplinary ontology for artificial voices. As one study output, HCI tools are proposed for future collaboration.
U2 - doi:10.3109/14015439.2013.810303
DO - doi:10.3109/14015439.2013.810303
M3 - Article
SN - 1401-5439
VL - 38
SP - 115
EP - 125
JO - Logopedics Phoniatrics Vocology
JF - Logopedics Phoniatrics Vocology
IS - 3
ER -