Cost-Sensitive Learning for Emotion Robust Speaker Recognition

Cost-Sensitive Learning for Emotion Robust Speaker Recognition

In the field of information security, voice is one of the most important parts in biometrics. Especially, with the development of voice communication through the Internet or telephone system, huge voice data resources are accessed. In speaker recognition, voiceprint can be applied as the unique password for the user to prove his/her identity. However, speech with various emotions can cause an u...

Speaker Clustering in Emotion Recognition

Speaker variability is a known challenge for emotion recognition, however little work has been done on speaker similarity in terms of its contribution to the performance in the emotion classification task. In this paper, we investigate this topic, and find a clear link between speaker proximity and the recognition accuracy. Motivated by this result, emotion based speaker clustering is proposed ...

Robust Speaker Recognition

The automatic speaker recognition technologies have developed into more and more important modern technologies required by many speech-aided applications. The main challenge for automatic speaker recognition is to deal with the variability of the environments and channels from where the speech was obtained. In previous work, good results have been achieved for clean high-quality speech with mat...

Robust Cost-Sensitive Learning for Recommendation with Implicit Feedback

Recommendation is the task of improving customer experience through personalized recommendation based on users’ past feedback. In this paper, we investigate the most common scenario: the user-item (U-I) matrix of implicit feedback (e.g. clicks, views, purchases). Even though many recommendation approaches are designed based on implicit feedback, they attempt to project the U-I matrix into a low...

Spectro-temporal Modulations for Robust Speech Emotion Recognition Spectro-temporal Modulations for Robust Speech Emotion Recognition