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Martin Heckmann
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2020 – today
- 2024
- [i1]Matthias Pijarowski, Alexander Wolpert, Martin Heckmann, Michael Teutsch
:
Utilizing Grounded SAM for self-supervised frugal camouflaged human detection. CoRR abs/2406.05776 (2024) - 2020
- [j8]Martina Hasenjäger
A Survey of Personalization for Advanced Driver Assistance Systems. IEEE Trans. Intell. Veh. 5(2): 335-344 (2020) - [c64]Nima Nabizadeh, Dorothea Kolossa, Martin Heckmann:
MyFixit: An Annotated Dataset, Annotation Tool, and Baseline Methods for Information Extraction from Repair Manuals. LREC 2020: 2120-2128 - [c63]Nima Nabizadeh, Martin Heckmann, Dorothea Kolossa
Target-Aware Prediction of Tool Usage in Sequential Repair Tasks. LOD (2) 2020: 156-168 - [c62]Nima Nabizadeh, Martin Heckmann, Dorothea Kolossa:
Hierarchy-aware Learning of Sequential Tool Usage via Semi-automatically Constructed Taxonomies. MWE-LEX 2020: 22-26
2010 – 2019
- 2019
- [j7]Andrea Schnall
Feature-space SVM adaptation for speaker adapted word prominence detection. Comput. Speech Lang. 53: 198-216 (2019) - [c61]Martin Heckmann, Dennis Orth
CORA, a prototype for a cooperative speech-based on-demand intersection assistant. AutomotiveUI (adjunct) 2019: 483-488 - [c60]Diana Kleingarn
Speaker-adapted neural-network-based fusion for multimodal reference resolution. SIGdial 2019: 210-214 - [c59]Nazia Attari, Martin Heckmann, David Schlangen:
From Explainability to Explanation: Using a Dialogue Setting to Elicit Annotations with Justifications. SIGdial 2019: 331-335 - 2018
- [j6]Martin Heckmann
Audio-visual word prominence detection from clean and noisy speech. Comput. Speech Lang. 48: 15-30 (2018) - [c58]Martin Heckmann, Dennis Orth, Dorothea Kolossa:
"Gap after the next two vehicles": A Spatio-temporally Situated Dialog for a Cooperative Driving Assistant. ITG Symposium on Speech Communication 2018: 1-5 - [c57]Dennis Orth
Analysis of a Speech-Based Intersection Assistant in Real Urban Traffic. ITSC 2018: 1273-1278 - [c56]Dennis Orth
A Speech-Based On-Demand Intersection Assistant Prototype. Intelligent Vehicles Symposium 2018: 2048-2053 - 2017
- [c55]Dennis Orth
Benefits of Personalization in the Context of a Speech-Based Left-Turn Assistant. AutomotiveUI 2017: 193-201 - [c54]Dennis Orth
Predicting driver left-turn behavior from few training samples using a maximum a posteriori method. ITSC 2017: 1-6 - [c53]Dennis Orth
A maximum likelihood method for driver-specific critical-gap estimation. Intelligent Vehicles Symposium 2017: 553-558 - 2016
- [c52]Andrea Schnall, Martin Heckmann:
Balancing Gaussianity and sparseness in feature-space speaker adaptation for word prominence detection. ITG Symposium on Speech Communication 2016: 1-5 - [c51]Nadja Schömig, Martin Heckmann
Assistance-On-Demand: a Speech-Based Assistance System for Urban Intersections. AutomotiveUI (adjunct) 2016: 51-56 - [c50]Martin Heckmann
Feature-Level Decision Fusion for Audio-Visual Word Prominence Detection. INTERSPEECH 2016: 575-579 - [c49]Nils Magiera, H. Janssen, Martin Heckmann
Rider skill identification by probabilistic segmentation into motorcycle maneuver primitives. ITSC 2016: 379-386 - [c48]Andrea Schnall, Martin Heckmann
Comparing speaker independent and speaker adapted classification for word prominence detection. SLT 2016: 239-244 - [c47]Lea Schonherr
Environmentally robust audio-visual speaker identification. SLT 2016: 312-318 - 2015
- [c46]Andrea Schnall, Martin Heckmann
Evaluation of optical flow field features for the detection of word prominence in a human-machine interaction scenario. IJCNN 2015: 1-7 - 2014
- [c45]Martin Heckmann, Paschalis Mikias, Dorothea Kolossa:
The Impact of Word Alignment Accuracy on Audio-visual Word Prominence Detection. ITG Symposium on Speech Communication 2014: 1-4 - [c44]Martin Heckmann
Steps Towards More Natural Human-Machine Interaction via Audio-Visual Word Prominence Detection. MA3HMI@INTERSPEECH 2014: 15-24 - [c43]Andrea Schnall, Martin Heckmann:
Integrating sequence information in the audio-visual detection of word prominence in a human-machine interaction scenario. INTERSPEECH 2014: 2640-2644 - 2013
- [c42]Martin Heckmann, Keisuke Nakamura, Kazuhiro Nakadai:
Differences in the audio-visual detection of word prominence from Japanese and English speakers. AVSP 2013: 209-214 - [c41]Martin Heckmann:
Inter-speaker variability in audio-visual classification of word prominence. INTERSPEECH 2013: 1791-1795 - [c40]Samuel K. Ngouoko M, Martin Heckmann
Robust spectro-temporal speech features with model-based distribution equalization. WIAMIS 2013: 1-4 - 2012
- [j5]Irene Ayllón Clemente, Martin Heckmann
Incremental word learning: Efficient HMM initialization and large margin discriminative adaptation. Speech Commun. 54(9): 1029-1048 (2012) - [c39]Martin Heckmann:
Image Transformation based Features for the Visual Discrimination of Prominent and Non-ProminentWords. ITG Conference on Speech Communication 2012: 1-4 - [c38]Samuel K. Ngouoko M, Martin Heckmann, Britta Wrede:
Spectro-temporal features with distribution equalization. SAPA@INTERSPEECH 2012: 104-109 - [c37]Martin Heckmann:
Audio-visual Evaluation and Detection of Word Prominence in a Human-Machine Interaction Scenario. INTERSPEECH 2012: 2390-2393 - [c36]Martin Heckmann:
Visual Contribution to Word Prominence Detection in a Playful Interaction Setting. IWSDS 2012: 241-247 - 2011
- [j4]Martin Heckmann
Preface. Speech Commun. 53(5): 591 (2011) - [j3]Martin Heckmann
A hierarchical framework for spectro-temporal feature extraction. Speech Commun. 53(5): 736-752 (2011) - [c35]Martin Heckmann, Claudius Gläser:
Discriminant Sub-Space Projection of Spectro-Temporal Speech Features Based on Maximizing Mutual Information. INTERSPEECH 2011: 225-228 - [c34]Martin Heckmann, Kazuhiro Nakadai, Hirofumi Nakajima:
Robust Intonation Pattern Classification in Human Robot Interaction. INTERSPEECH 2011: 3137-3140 - [c33]Raphael Golombek, Sebastian Wrede
Online data-driven fault detection for robotic systems. IROS 2011: 3011-3016 - 2010
- [j2]Claudius Gläser, Martin Heckmann
Combining Auditory Preprocessing and Bayesian Estimation for Robust Formant Tracking. IEEE Trans. Speech Audio Process. 18(2): 224-236 (2010) - [c32]Claudius Gläser, Martin Heckmann, Frank Joublin, Christian Goerick:
Robust Formant Tracking in Echoic and Noisy Environments. Sprachkommunikation 2010: 1-4 - [c31]Irene Ayllón Clemente, Martin Heckmann
Multiple sequence alignment based bootstrapping for improved incremental word learning. ICASSP 2010: 5246-5249 - [c30]Martin Heckmann:
Supervised vs. unsupervised learning of spectro temporal speech features. SAPA@INTERSPEECH 2010: 1-6 - [c29]Irene Ayllón Clemente, Martin Heckmann, Alexander Denecke, Britta Wrede, Christian Goerick:
Incremental word learning using large-margin discriminative training and variance floor estimation. INTERSPEECH 2010: 889-892 - [c28]Martin Heckmann, Claudius Gläser, Frank Joublin, Kazuhiro Nakadai:
Applying geometric source separation for improved pitch extraction in human-robot interaction. INTERSPEECH 2010: 2602-2605 - [c27]Martin Heckmann
Pitch extraction in Human-Robot interaction. IROS 2010: 1482-1487 - [c26]Raphael Golombek, Sebastian Wrede, Marc Hanheide
Learning a probabilistic self-awareness model for robotic systems. IROS 2010: 2745-2750
2000 – 2009
- 2009
- [c25]Christian Goerick, Jens Schmüdderich, Bram Bolder, Herbert Janssen, Michael Gienger, Achim Bendig, Martin Heckmann
Interactive online multimodal association for internal concept building in humanoids. Humanoids 2009: 411-418 - [c24]Martin Heckmann, Holger Brandl, Xavier Domont, Bram Bolder, Frank Joublin, Christian Goerick:
An audio-visual attention system for online association learning. INTERSPEECH 2009: 2171-2174 - [c23]Martin Heckmann
Teaching a humanoid robot: Headset-free speech interaction for audio-visual association learning. RO-MAN 2009: 422-427 - 2008
- [c22]Xavier Domont, Martin Heckmann
Hierarchical spectro-temporal features for robust speech recognition. ICASSP 2008: 4417-4420 - [c21]Martin Heckmann, Xavier Domont, Frank Joublin, Christian Goerick:
A closer look on hierarchical spectro-temporal features (HIST). INTERSPEECH 2008: 894-897 - [c20]Claudius Gläser, Martin Heckmann, Frank Joublin, Christian Goerick:
Auditory-based formant estimation in noise using a probabilistic framework. INTERSPEECH 2008: 2606-2609 - [c19]Martin Heckmann
Listen to the parrot: Demonstrating the quality of online pitch and formant extraction via feature-based resynthesis. IROS 2008: 1699-1704 - 2007
- [c18]Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Christian Goerick:
A hierarchical model for syllable recognition. ESANN 2007: 573-578 - [c17]Claudius Gläser, Martin Heckmann
Joint Estimation of Formant Trajectories via Spectro-Temporal Smoothing and Bayesian Techniques. ICASSP (4) 2007: 477-480 - [c16]Martin Heckmann, Frank Joublin, Christian Goerick:
Combining rate and place information for robust pitch extraction. INTERSPEECH 2007: 2765-2768 - [c15]Xavier Domont, Martin Heckmann, Heiko Wersing, Frank Joublin, Stefan Menzel, Bernhard Sendhoff, Christian Goerick:
Word Recognition with a Hierarchical Neural Network. NOLISP 2007: 142-151 - 2006
- [c14]Martin Heckmann, Marco Moebus, Frank Joublin, Christian Goerick:
Speaker independent voiced-unvoiced detection evaluated in different speaking styles. INTERSPEECH 2006 - [c13]Martin Heckmann, Tobias Rodemann, Björn Schölling, Frank Joublin, Christian Goerick:
Modeling the precedence effect for binaural sound source localization in noisy and echoic environments. INTERSPEECH 2006 - [c12]Björn Schölling, Martin Heckmann, Frank Joublin, Christian Goerick:
Structuring time domain blind source separation algorithms for CASA integration. SAPA@INTERSPEECH 2006: 37-41 - [c11]Martin Heckmann
Auditory Inspired Binaural Robust Sound Source Localization in Echoic and Noisy Environments. IROS 2006: 368-373 - [c10]Tobias Rodemann, Martin Heckmann
Real-time Sound Localization With a Binaural Head-system Using a Biologically-inspired Cue-triple Mapping. IROS 2006: 860-865 - 2005
- [c9]Martin Heckmann
Sound source separation for a robot based on pitch. IROS 2005: 2197-2202 - 2003
- [b1]Martin Heckmann:
Adaptive Datenfusion für die audio-visuelle Spracherkennung. Karlsruhe Institute of Technology, 2003, ISBN 3-8322-2034-8, pp. 1-169 - [c8]Martin Heckmann, Frédéric Berthommier, Christophe Savariaux, Kristian Kroschel:
Effects of image distortions on audio-visual speech recognition. AVSP 2003: 163-168 - 2002
- [j1]Martin Heckmann
Noise Adaptive Stream Weighting in Audio-Visual Speech Recognition. EURASIP J. Adv. Signal Process. 2002(11): 1260-1273 (2002) - [c7]Martin Heckmann, Kristian Kroschel, Christophe Savariaux, Frédéric Berthommier:
DCT-based video features for audio-visual speech recognition. INTERSPEECH 2002: 1925-1928 - 2001
- [c6]Martin Heckmann, Frédéric Berthommier, Kristian Kroschel:
A hybrid ANN/HMM audio-visual speech recognition system. AVSP 2001: 189-194 - [c5]Martin Heckmann
Optimal weighting of posteriors for audio-visual speech recognition. ICASSP 2001: 161-164 - [c4]Martin Heckmann, Thorsten Wild, Frédéric Berthommier, Kristian Kroschel:
Comparing audio- and a-posteriori-probability-based stream confidence measures for audio-visual speech recognition. INTERSPEECH 2001: 1023-1026 - 2000
- [c3]Martin Heckmann, Julia Vogel, Kristian Kroschel:
Frequency selective step-size control for acoustic echo cancellation. EUSIPCO 2000: 1-4 - [c2]Kristian Kroschel, Martin Heckmann:
Robust Noise Reduction and Echo Cancellation. PWC 2000: 249-258 - [c1]Martin Heckmann, Frédéric Berthommier, Christophe Savario, Kristian Kroschel:
Labeling audio-visual speech corpora and training an ANN/HMM audio-visual speech recognition system. INTERSPEECH 2000: 9-12
Coauthor Index
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last updated on 2024-10-07 22:24 CEST by the dblp team
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