28 citations · 99 across the 9 of their papers we have counts for
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eess.AS2019★ 2 cited
Speaker-invariant Affective Representation Learning via Adversarial Training
Haoqi Li, Ming Tu, Jing Huang +2
Representation learning for speech emotion recognition is challenging due to labeled data sparsity issue and lack of gold standard references. In addition, there is much variabilit…
eess.AS2019★ 3 cited
I4U Submission to NIST SRE 2018: Leveraging from a Decade of Shared Experiences
Kong Aik Lee, Ville Hautamaki, Tomi Kinnunen +43
The I4U consortium was established to facilitate a joint entry to NIST speaker recognition evaluations (SRE). The latest edition of such joint submission was in SRE 2018, in which…
eess.AS2019★ 17 cited
Towards adversarial learning of speaker-invariant representation for speech emotion recognition
Ming Tu, Yun Tang, Jing Huang +2
Speech emotion recognition (SER) has attracted great attention in recent years due to the high demand for emotionally intelligent speech interfaces. Deriving speaker-invariant repr…