AI Article Synopsis
- The study focused on creating emotional expressions in text-to-speech (TTS) technologies for better user interface designs.
- Researchers developed a system that integrated TTS with automatic speech recognition (ASR) to create a chatbot capable of conversing with users.
- The investigation aimed to explore the artistic and psychological aspects of artificial speech emotion, highlighting interdisciplinary applications in areas like music, communication, and AI.
Article Abstract
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.
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| http://dx.doi.org/10.3109/14015439.2013.810303 | DOI Listing |
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