9 citations · 11 across the 6 of their papers we have counts for
5 papers · 1 filter
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…
Fine-grained Early Frequency Attention for Deep Speaker Representation Learning
Amirhossein Hajavi, Ali Etemad
Deep learning techniques have considerably improved speech processing in recent years. Speaker representations extracted by deep learning models are being used in a wide range of t…
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…