Sebastian Stober | DeepAI

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Featured Co-authors

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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...

0 Suhita Ghosh, et al. ∙

∙ 09/14/2023

StarGAN-VC++: Towards Emotion Preserving Voice Conversion Using Deep Embeddings

Voice conversion (VC) transforms an utterance to sound like another pers...

0 Arnab Das, et al. ∙

∙ 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...

0 Suhita Ghosh, et al. ∙

∙ 06/21/2022

Learning Continuous Rotation Canonicalization with Radial Beam Sampling

Nearly all state of the art vision models are sensitive to image rotatio...

0 Johann Schmidt, et al. ∙

∙ 04/07/2022

Visualizing Deep Neural Networks with Topographic Activation Maps

Machine Learning with Deep Neural Networks (DNNs) has become a successfu...

0 Andreas Krug, et al. ∙

∙ 12/02/2021

Differentiable Generalised Predictive Coding

This paper deals with differentiable dynamical models congruent with neu...

0 André Ofner, et al. ∙

∙ 11/16/2021

PredProp: Bidirectional Stochastic Optimization with Precision Weighted Predictive Coding

We present PredProp, a method for bidirectional, parallel and local opti...

0 André Ofner, et al. ∙

∙ 11/12/2021

Predictive coding, precision and natural gradients

There is an increasing convergence between biologically plausible comput...

0 André Ofner, et al. ∙

∙ 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...

0 Indrani Sarkar, et al. ∙

∙ 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...

4 Anneke Meyer, et al. ∙

∙ 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...

22 Soumick Chatterjee, et al. ∙

∙ 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...

0 Andreas Krug, et al. ∙

∙ 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...

0 Andreas Krug, et al. ∙

∙ 10/05/2018

Hybrid Active Inference

We describe a framework of hybrid cognition by formulating a hybrid cogn...

0 André Ofner, et al. ∙

∙ 06/01/2017

Transfer Learning for Speech Recognition on a Budget

End-to-end training of automated speech recognition (ASR) systems requir...

0 Julius Kunze, et al. ∙

∙ 11/13/2015

Deep Feature Learning for EEG Recordings

We introduce and compare several strategies for learning discriminative ...

0 Sebastian Stober, et al. ∙

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