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Wendi B. Heinzelman

2 accepted papers

2018

Unsupervised Learning Approach to Feature Analysis for Automatic Speech Emotion Recognition

ICASSP 2018accepted

The scarcity of emotional speech data is a bottleneck of developing automatic speech emotion recognition (ASER) systems. One way to alleviate this issue is to use unsupervised feature learning techniques to learn features from the widely available general speech and use these features to train emoti…

Cited by 0SourceScholar
2016

Emotion classification: How does an automated system compare to Naive human coders?

ICASSP 2016accepted

The fact that emotions play a vital role in social interactions, along with the demand for novel human-computer interaction applications, have led to the development of a number of automatic emotion classification systems. However, it is still debatable whether the performance of such systems can co…

Cited by 0SourceScholar