29 citations · 36 across the 21 of their papers we have counts for
4 papers · 1 filter
Semi-Supervised Contrastive Learning with Generalized Contrastive Loss and Its Application to Speaker Recognition
Nakamasa Inoue, Keita Goto
This paper introduces a semi-supervised contrastive learning framework and its application to text-independent speaker verification. The proposed framework employs generalized cont…
Speech Paralinguistic Approach for Detecting Dementia Using Gated Convolutional Neural Network
Mariana Rodrigues Makiuchi, Tifani Warnita, Nakamasa Inoue +6
We propose a non-invasive and cost-effective method to automatically detect dementia by utilizing solely speech audio data. We extract paralinguistic features for a short speech se…
I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification
Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda
I-vector based text-independent speaker verification (SV) systems often have poor performance with short utterances, as the biased phonetic distribution in a short utterance makes…
Detecting Alzheimer's Disease Using Gated Convolutional Neural Network from Audio Data
Tifani Warnita, Nakamasa Inoue, Koichi Shinoda
We propose an automatic detection method of Alzheimer's diseases using a gated convolutional neural network (GCNN) from speech data. This GCNN can be trained with a relatively smal…