| Noise adaptive stream weighting in audio-visual speech recognition M Heckmann, F Berthommier, K Kroschel EURASIP Journal on Applied Signal Processing 2002 (1), 1260-1273, 2002 | 148 | 2002 |
| A survey of personalization for advanced driver assistance systems M Hasenjäger, M Heckmann, H Wersing IEEE Transactions on Intelligent Vehicles 5 (2), 335-344, 2019 | 131 | 2019 |
| DCT-based video features for audio-visual speech recognition M Heckmann, K Kroschel, C Savariaux, F Berthommier Seventh International Conference on Spoken Language Processing, 2002 | 77 | 2002 |
| Real-time sound localization with a binaural head-system using a biologically-inspired cue-triple mapping T Rodemann, M Heckmann, F Joublin, C Goerick, B Scholling Intelligent Robots and Systems, 2006 IEEE/RSJ International Conference on …, 2006 | 53 | 2006 |
| A hierarchical framework for spectro-temporal feature extraction M Heckmann, X Domont, F Joublin, C Goerick Speech Communication 53 (5), 736-752, 2011 | 47 | 2011 |
| Combining auditory preprocessing and bayesian estimation for robust formant tracking C Glaser, M Heckmann, F Joublin, C Goerick IEEE transactions on audio, speech, and language processing 18 (2), 224-236, 2009 | 43 | 2009 |
| Hierarchical spectro-temporal features for robust speech recognition X Domont, M Heckmann, F Joublin, C Goerick Acoustics, Speech and Signal Processing, 2008. ICASSP 2008. IEEE …, 2008 | 42 | 2008 |
| Combining rate and place information for robust pitch extraction M Heckmann, F Joublin, C Goerick Eighth Annual Conference of the International Speech Communication Association, 2007 | 41 | 2007 |
| A hybrid ANN/HMM audio-visual speech recognition system. M Heckmann, F Berthommier, K Kroschel AVSP, 189-194, 2001 | 35 | 2001 |
| Auditory inspired binaural robust sound source localization in echoic and noisy environments M Heckmann, T Rodemann, F Joublin, C Goerick, B Scholling 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2006 | 33 | 2006 |
| A maximum likelihood method for driver-specific critical-gap estimation D Orth, D Kolossa, MS Paja, K Schaller, A Pech, M Heckmann 2017 ieee intelligent vehicles symposium (iv), 553-558, 2017 | 31 | 2017 |
| Subtractive cancellation of harmonic noise F Joublin, M Heckmann, B Schölling US Patent 7,453,963, 2008 | 28 | 2008 |
| Optimal weighting of posteriors for audio-visual speech recognition M Heckmann, F Berthommier, K Kroschel Acoustics, Speech, and Signal Processing, 2001. Proceedings.(ICASSP'01 …, 2001 | 26 | 2001 |
| Learning a probabilistic error detection model for robotic systems R Golombek, S Wrede, M Hanheide, M Heckmann | 24* | 2010 |
| Benefits of personalization in the context of a speech-based left-turn assistant D Orth, N Schömig, C Mark, M Jagiellowicz-Kaufmann, D Kolossa, ... Proceedings of the 9th international conference on automotive user …, 2017 | 23 | 2017 |
| Online data-driven fault detection for robotic systems R Golombek, S Wrede, M Hanheide, M Heckmann 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2011 | 20 | 2011 |
| Listen to the parrot: Demonstrating the quality of online pitch and formant extraction via feature-based resynthesis M Heckmann, C Glaser, M Vaz, T Rodemann, F Joublin, C Goerick Intelligent Robots and Systems, 2008. IROS 2008. IEEE/RSJ International …, 2008 | 20 | 2008 |
| Integrating sequence information in the audio-visual detection of word prominence in a human-machine interaction scenario A Schnall, M Heckmann Fifteenth Annual Conference of the International Speech Communication …, 2014 | 19 | 2014 |
| Audio-visual Evaluation and Detection of Word Prominence in a Human-Machine Interaction Scenario. M Heckmann INTERSPEECH, 2390-2393, 2012 | 19 | 2012 |
| A closer look on hierarchical spectro-temporal features (HIST) M Heckmann, X Domont, F Joublin, C Goerick Ninth Annual Conference of the International Speech Communication Association, 2008 | 19 | 2008 |
Heiko WersingHonda Research Institute Europe在 honda-ri.de 的电子邮件经过验证
