9 citations · 10 across the 2 of their papers we have counts for
4 papers
Siamese Capsule Network for End-to-End Speaker Recognition In The Wild
Amirhossein Hajavi, Ali Etemad
We propose an end-to-end deep model for speaker verification in the wild. Our model uses thin-ResNet for extracting speaker embeddings from utterances and a Siamese capsule network…
FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning
Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad
Strong presentation skills are valuable and sought-after in workplace and classroom environments alike. Of the possible improvements to vocal presentations, disfluencies and stutte…
Detecting Multiple Speech Disfluencies using a Deep Residual Network with Bidirectional Long Short-Term Memory
Tedd Kourkounakis, Amirhossein Hajavi, Ali Etemad
Stuttering is a speech impediment affecting tens of millions of people on an everyday basis. Even with its commonality, there is minimal data and research on the identification and…
A Deep Neural Network for Short-Segment Speaker Recognition
Amirhossein Hajavi, Ali Etemad
Todays interactive devices such as smart-phone assistants and smart speakers often deal with short-duration speech segments. As a result, speaker recognition systems integrated int…