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Full-Text Articles in Computer Engineering
Judging Emotion From Low-Pass Filtered Naturalistic Emotional Speech, John Snel, Charlie Cullen
Judging Emotion From Low-Pass Filtered Naturalistic Emotional Speech, John Snel, Charlie Cullen
Conference papers
In speech, low frequency regions play a significant role in paralinguistic communication such as the conveyance of emotion or mood. The extent to which lower frequencies signify or contribute to affective speech is still an area for investigation. To investigate paralinguistic cues, and remove interference from linguistic cues, researchers can low-pass filter the speech signal on the assumption that certain acoustic cues characterizing affect are still discernible. Low-pass filtering is a practical technique to investigate paralinguistic phenomena, and is used here to investigate the inference of naturalistic emotional speech. This paper investigates how listeners perceive the level of Activation, and …
Generation Of High Quality Audio Natural Emotional Speech Corpus Using Task Based Mood Induction, Charlie Cullen, Brian Vaughan, Spyros Kousidis, Yi Wang, Ciaran Mcdonnell, Dermot Campbell
Generation Of High Quality Audio Natural Emotional Speech Corpus Using Task Based Mood Induction, Charlie Cullen, Brian Vaughan, Spyros Kousidis, Yi Wang, Ciaran Mcdonnell, Dermot Campbell
Conference papers
Detecting emotional dimensions [1] in speech is an area of great research interest, notably as a means of improving human computer interaction in areas such as speech synthesis [2]. In this paper, a method of obtaining high quality emotional audio speech assets is proposed. The methods of obtaining emotional content are subject to considerable debate, with distinctions between acted [3] and natural [4] speech being made based on the grounds of authenticity. Mood Induction Procedures (MIP’s) [5] are often employed to stimulate emotional dimensions in a controlled environment. This paper details experimental procedures based around MIP 4, using performance related …