Tim Fingscheidt
Cited by
Cited by
Softbit Speech Decoding: A New Approach to Error Concealment
T Fingscheidt, P Vary
IEEE Transactions on Speech and Audio Processing 9 (3), 240-251, 2001
Self-supervised monocular depth estimation: Solving the dynamic object problem by semantic guidance
M Klingner, JA Termöhlen, J Mikolajczyk, T Fingscheidt
European Conference on Computer Vision, 582-600, 2020
A computational analysis of the neural bases of Bayesian inference
A Kolossa, B Kopp, T Fingscheidt
Neuroimage 106, 222-237, 2015
Robust Speech Decoding: A Universal Approach to Bit Error Concealment
T Fingscheidt, P Vary
1997 IEEE International Conference on Acoustics, Speech, and Signal …, 1997
A Data-Driven Approach to A Priori SNR Estimation
S Suhadi, C Last, T Fingscheidt
IEEE Transactions on Audio, Speech, and Language Processing 19 (1), 186-195, 2011
Towards corner case detection for autonomous driving
JA Bolte, A Bar, D Lipinski, T Fingscheidt
2019 IEEE Intelligent vehicles symposium (IV), 438-445, 2019
Environment-Optimized Speech Enhancement
T Fingscheidt, S Suhadi, S Stan
IEEE transactions on audio, speech, and language processing 16 (4), 825-834, 2008
Joint Source-Channel (De-) Coding for Mobile Communications
T Fingscheidt, T Hindelang, RV Cox, N Seshadri
IEEE Transactions on Communications 50 (2), 200-212, 2002
A model-based approach to trial-by-trial P300 amplitude fluctuations
A Kolossa, T Fingscheidt, K Wessel, B Kopp
Frontiers in human neuroscience 6, 359, 2013
Convolutional neural networks to enhance coded speech
Z Zhao, H Liu, T Fingscheidt
IEEE/ACM Transactions on Audio, Speech, and Language Processing 27 (4), 663-678, 2018
Artificial speech bandwidth extension using deep neural networks for wideband spectral envelope estimation
J Abel, T Fingscheidt
IEEE/ACM Transactions on Audio, Speech, and Language Processing 26 (1), 71-83, 2017
Syndistnet: Self-supervised monocular fisheye camera distance estimation synergized with semantic segmentation for autonomous driving
VR Kumar, M Klingner, S Yogamani, S Milz, T Fingscheidt, P Mader
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021
A statistical framework for artificial bandwidth extension exploiting speech waveform and phonetic transcription
P Bauer, T Fingscheidt
2009 17th European Signal Processing Conference, 1839-1843, 2009
P300 amplitude variations, prior probabilities, and likelihoods: A Bayesian ERP study
B Kopp, C Seer, F Lange, A Kluytmans, A Kolossa, T Fingscheidt, ...
Cognitive, Affective, & Behavioral Neuroscience 16 (5), 911-928, 2016
Unsupervised domain adaptation to improve image segmentation quality both in the source and target domain
JA Bolte, M Kamp, A Breuer, S Homoceanu, P Schlicht, F Huger, ...
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019
Survey of speech enhancement supported by a bone conduction microphone
HS Shin, HG Kang, T Fingscheidt
Speech Communication; 10. ITG Symposium, 1-4, 2012
Combined source/channel (de-) coding: can a priori information be used twice?
T Hindelang, T Fingscheidt, N Seshadri, RV Cox
2000 IEEE International Conference on Communications. ICC 2000. Global …, 2000
Speech recognition with language-dependent model vectors
T Fingscheidt, S Stan
US Patent 7,630,878, 2009
Inspect, understand, overcome: A survey of practical methods for ai safety
S Houben, S Abrecht, M Akila, A Bär, F Brockherde, P Feifel, ...
Deep Neural Networks and Data for Automated Driving, 3-78, 2022
An HMM-based artificial bandwidth extension evaluated by cross-language training and test
P Bauer, T Fingscheidt
2008 IEEE International Conference on Acoustics, Speech and Signal …, 2008
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