| Smartphone-based sensor fusion for improved vehicular navigation O Walter, J Schmalenstroeer, A Engler, R Haeb-Umbach 2013 10th Workshop on Positioning, Navigation and Communication (WPNC), 1-6, 2013 | 54 | 2013 |
| A hierarchical system for word discovery exploiting DTW-based initialization O Walter, T Korthals, R Haeb-Umbach, B Raj 2013 IEEE Workshop on Automatic Speech Recognition and Understanding, 386-391, 2013 | 40 | 2013 |
| Iterative Bayesian word segmentation for unsupervised vocabulary discovery from phoneme lattices J Heymann, O Walter, R Haeb-Umbach, B Raj 2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014 | 33 | 2014 |
| Unsupervised word segmentation from noisy input J Heymann, O Walter, R Haeb-Umbach, B Raj 2013 IEEE workshop on automatic speech recognition and understanding, 458-463, 2013 | 32 | 2013 |
| Source counting in speech mixtures by nonparametric Bayesian estimation of an infinite Gaussian mixture model O Walter, L Drude, R Haeb-Umbach 2015 IEEE International Conference on Acoustics, Speech and Signal …, 2015 | 30 | 2015 |
| Barometric height estimation combined with map-matching in a loosely-coupled Kalman-filter M Bevermeier, O Walter, S Peschke, R Haeb-Umbach 2010 7th Workshop on Positioning, Navigation and Communication, 128-134, 2010 | 23 | 2010 |
| Unsupervised word discovery from phonetic input using nested pitman-yor language modeling O Walter, R Haeb-Umbach, S Chaudhuri, B Raj ICRA Workshop on Autonomous Learning, 2013 | 22 | 2013 |
| Machine learning techniques for semantic analysis of dysarthric speech: An experimental study V Despotovic, O Walter, R Haeb-Umbach Speech Communication 99, 242-251, 2018 | 18 | 2018 |
| An evaluation of unsupervised acoustic model training for a dysarthric speech interface O Walter, V Despotovic, R Haeb-Umbach, J Gemmeke, B Ons 15th Annual Conference of the International Speech Communication Association …, 2014 | 13 | 2014 |
| Multi-Staged Cross-Lingual Acoustic Model Adaption for Robust Speech Recognition in Real-World Applications--A Case Study on German Oral History Interviews M Gref, O Walter, C Schmidt, S Behnke, J Köhler arXiv preprint arXiv:2005.12562, 2020 | 7 | 2020 |
| Autonomous learning of representations O Walter, R Haeb-Umbach, B Mokbel, B Paassen, B Hammer KI-Künstliche Intelligenz 29, 339-351, 2015 | 6 | 2015 |
| Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data. A Krueger, O Walter, V Leutnant, R Haeb-Umbach INTERSPEECH, 807-810, 2012 | 6 | 2012 |
| Leveraging text data for word segmentation for underresourced languages T Glarner, B Boenninghoff, O Walter, R Haeb-Umbach System 9 (10), 11, 2017 | 4 | 2017 |
| Control of jitter buffer size using machine learning I Creusen, O Walter, H Lundin | 3 | 2017 |
| Bilingual i-vector extractor for DNN hybrid acoustic model training in German speech recognition systems Y Wang, M Gref, O Walter, C Schmidt Speech Communication; 14th ITG Conference, 1-5, 2021 | 2 | 2021 |
| Semantic analysis of spoken input using Markov logic networks V Despotovic, O Walter, R Haeb-Umbach 16th Annual Conference of the International Speech Communication Association …, 2015 | 2 | 2015 |
| Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models O Walter, R Häb-Umbach 38th German Conference on Pattern Recognition (GCPR 2016), 2016 | 1 | 2016 |
| Lexicon Discovery for Language Preservation using Unsupervised Word Segmentation with Pitman-Yor Language Models (FGNT-2015-01) O Walter, R Haeb-Umbach, J Strunk, NP Himmelmann FGNT Technical Report FGNT-2015-01. University of Paderborn Department of …, 2015 | 1 | 2015 |
| A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01) O Walter, J Schmalenstroeer, R Haeb-Umbach | 1 | 2013 |
| Prediction of incipient speech in audio/video conferences O Walter, F Lindstrom, I Creusen | | 2017 |
Reinhold Haeb-UmbachProfessor of Communications Engineering, University of PaderbornE-mail megerősítve itt: nt.uni-paderborn.de
