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Ming-Hsiang Su

3 accepted papers

2019

Speech Emotion Recognition Using Deep Neural Network Considering Verbal and Nonverbal Speech Sounds

ICASSP 2019accepted

Speech emotion recognition is becoming increasingly important for many applications. In real-life communication, non-verbal sounds within an utterance also play an important role for people to recognize emotion. In current studies, only few emotion recognition systems considered nonverbal sounds, su…

Cited by 0SourceScholar
2018

Attention-Based Dialog State Tracking for Conversational Interview Coaching

ICASSP 2018accepted

This study proposes an approach to dialog state tracking (DST) in a conversational interview coaching system. For the interview coaching task, the semantic slots, used mostly in traditional dialog systems, are difficult to define manually. This study adopts the topic profile of the response from the…

Cited by 0SourceScholar
2017

Mood detection from daily conversational speech using denoising autoencoder and LSTM

ICASSP 2017accepted

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 mismat…

Cited by 0SourceScholar