55 citations · 126 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
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…
Investigating the role of L1 in automatic pronunciation evaluation of L2 speech
Ming Tu, Anna Grabek, Julie Liss +1
Automatic pronunciation evaluation plays an important role in pronunciation training and second language education. This field draws heavily on concepts from automatic speech recog…
Simulating dysarthric speech for training data augmentation in clinical speech applications
Yishan Jiao, Ming Tu, Visar Berisha +1
Training machine learning algorithms for speech applications requires large, labeled training data sets. This is problematic for clinical applications where obtaining such data is…
A Discriminative Acoustic-Prosodic Approach for Measuring Local Entrainment
Megan M. Willi, Stephanie A. Borrie, Tyson S. Barrett +2
Acoustic-prosodic entrainment describes the tendency of humans to align or adapt their speech acoustics to each other in conversation. This alignment of spoken behavior has importa…