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09/15/2023
Improving Voice Conversion for Dissimilar Speakers Using Perceptual Losses
The rising trend of using voice as a means of interacting with smart dev...
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09/14/2023
StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings
Voice conversion (VC) transforms an utterance to sound like another pers...
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09/14/2023
Emo-StarGAN: A Semi-Supervised Any-to-Many Non-Parallel Emotion-Preserving Voice Conversion
Speech anonymisation prevents misuse of spoken data by removing any pers...
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06/21/2022
Learning Continuous Rotation Canonicalization with Radial Beam Sampling
Nearly all state of the art vision models are sensitive to image rotatio...
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04/07/2022
Visualizing Deep Neural Networks with Topographic Activation Maps
Machine Learning with Deep Neural Networks (DNNs) has become a successfu...
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12/02/2021
Differentiable Generalised Predictive Coding
This paper deals with differentiable dynamical models congruent with neu...
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11/16/2021
PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding
We present PredProp, a method for bidirectional, parallel and local opti...
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11/12/2021
Predictive coding, precision and natural gradients
There is an increasing convergence between biologically plausible comput...
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06/24/2021
Evaluation of deep lift pose models for 3D rodent pose estimation based on geometrically triangulated data
The assessment of laboratory animal behavior is of central interest in m...
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04/08/2021
Uncertainty-Aware Temporal Self-Learning (UATS): Semi-Supervised Learning for Segmentation of Prostate Zones and Beyond
Various convolutional neural network (CNN) based concepts have been intr...
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06/03/2020
Exploration of Interpretability Techniques for Deep COVID-19 Classification using Chest X-ray Images
The outbreak of COVID-19 has shocked the entire world with its fairly ra...
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02/19/2020
Gradient-Adjusted Neuron Activation Profiles for Comprehensive Introspection of Convolutional Speech Recognition Models
Deep Learning based Automatic Speech Recognition (ASR) models are very s...
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12/06/2019
Visualizing Deep Neural Networks for Speech Recognition with Learned Topographic Filter Maps
The uninformative ordering of artificial neurons in Deep Neural Networks...
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10/05/2018
Hybrid Active Inference
We describe a framework of hybrid cognition by formulating a hybrid cogn...
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06/01/2017
Transfer Learning for Speech Recognition on a Budget
End-to-end training of automated speech recognition (ASR) systems requir...
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11/13/2015