Search Results for author:
Found 7 papers, 0 papers with code
A Study on Bias and Fairness In Deep Speaker Recognition
With the ubiquity of smart devices that use speaker recognition (SR) systems as a means of authenticating individuals and personalizing their services, fairness of SR systems has becomes an important point of focus.
Audio Representation Learning by Distilling Video as Privileged Information
In this work, we propose a novel approach for deep audio representation learning using audio-visual data when the video modality is absent at inference.
Siamese Capsule Network for End-to-End Speaker Recognition In The Wild
Our model uses thin-ResNet for extracting speaker embeddings from utterances and a Siamese capsule network and dynamic routing as the Back-end to calculate a similarity score between the embeddings.
FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning
We also evaluate FluentNet on this dataset, showing the strong performance of our model versus a number of benchmark techniques.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Fine-grained Early Frequency Attention for Deep Speaker Representation Learning
We evaluate the proposed model on three tasks of speaker recognition, speech emotion recognition, and spoken digit recognition.
Detecting Multiple Speech Disfluencies using a Deep Residual Network with Bidirectional Long Short-Term Memory
Stuttering is a speech impediment affecting tens of millions of people on an everyday basis.
A Deep Neural Network for Short-Segment Speaker Recognition
Todays interactive devices such as smart-phone assistants and smart speakers often deal with short-duration speech segments.
