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Conflict is one of the most important phenomena of social life, but it is still largely neglected by the computing community. This work proposes an approach that detects common conversational social signals (loudness, overlapping speech, etc.) and predicts the conflict level perceived by human observers in continuous, non-categorical terms. The proposed regression approach is fully Bayesian and it...
We aim to detect salient mispronunciations in intonation of English speech uttered by Mandarin speakers. The goal of our project is to detect intonation errors and provide corrective feedback to English second language (ESL) learners. An intonational event includes the pitch accent and edge tone, and the intonation is closely related to the nuclear tone of an intonational phrase (IP). Hence, we first...
A speaker's accent is the most important factor affecting the performance of automatic speech recognition (ASR) systems because accents vary widely, even within the same country or community. The reason may be attributed to the fuzziness between the boundaries of phoneme classes, a result of differences in a speaker's vocal tract and accent. In this paper, a new method is proposed that is based on...
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