Kun-Yi Huang

We don’t have enough information about this author to calculate their statistics. If you think this is an error let us know.
Learn More
In current studies, an extended subjective self-report method is generally used for measuring emotions. Even though it is commonly accepted that speech emotion perceived by the listener is close to the intended emotion conveyed by the speaker, research has indicated that there still remains a mismatch between them. In addition, the individuals with(More)
The best way to prepare for an interview is to review the different types of possible interview questions you will be asked during an interview and practice responding to questions. An interview coaching system tries to simulate an interviewer to provide mock interview practice simulation sessions for the users. The traditional interview coaching systems(More)
A complete emotional expression typically contains a complex temporal course in a natural conversation. Related research on utterance-level and segment-level processing lacks understanding of the underlying structure of emotional speech. In this study, a hierarchical affective structure of an emotional utterance characterized by the probabilistic context(More)
Monitoring health conditions and events of grandparent-headed family is important to increase their quality of life and reduce care burdens. Affective episodes are significant indexes in monitoring behavior changes. In this paper, we propose an information retrieval approach to extract affect words from speech and written text to provide quantitative(More)
In mood disorder diagnosis, bipolar disorder (BD) patients are often misdiagnosed as unipolar depression (UD) on initial presentation. It is crucial to establish an accurate distinction between BD and UD to make a correct and early diagnosis, leading to improvements in treatment and course of illness. To deal with this misdiagnosis problem, in this study,(More)
Mood disorders include unipolar depression (UD) and bipolar disorder (BD). In this work, an elicitation-based approach to short-term detection of mood disorder based on the elicited speech responses is proposed. First, a long-short term memory (LSTM)-based classifier was constructed to generate the emotion likelihood for each segment in the elicited speech(More)
This study presents an approach to dialog state tracking (DST) in an interview conversation by using the long short-term memory (LSTM) and artificial neural network (ANN). First, the techniques of word embedding are employed for word representation by using the word2vec model. Then, each input sentence is represented by a sentence hidden vector using the(More)
  • 1