528 citations · 562 across the 12 of their papers we have counts for
6 papers · 1 filter
Multimodal Emotion Recognition with High-level Speech and Text Features
Mariana Rodrigues Makiuchi, Kuniaki Uto, Koichi Shinoda
Automatic emotion recognition is one of the central concerns of the Human-Computer Interaction field as it can bridge the gap between humans and machines. Current works train deep…
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…
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…
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…
Attentive Statistics Pooling for Deep Speaker Embedding
Koji Okabe, Takafumi Koshinaka, Koichi Shinoda
This paper proposes attentive statistics pooling for deep speaker embedding in text-independent speaker verification. In conventional speaker embedding, frame-level features are av…