Oliver Walter
Oliver Walter
Team Lead and Research Engineer, Business Unit Speech Technologies, Fraunhofer IAIS
Bestätigte E-Mail-Adresse bei
Zitiert von
Zitiert von
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
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
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
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
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
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
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
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
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
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
Bayesian Feature Enhancement for ASR of Noisy Reverberant Real-World Data.
A Krueger, O Walter, V Leutnant, R Haeb-Umbach
INTERSPEECH, 807-810, 2012
Autonomous learning of representations
O Walter, R Haeb-Umbach, B Mokbel, B Paassen, B Hammer
KI-Künstliche Intelligenz 29, 339-351, 2015
Leveraging text data for word segmentation for underresourced languages
T Glarner, B Boenninghoff, O Walter, R Haeb-Umbach
System 9 (10), 11, 2017
Control of jitter buffer size using machine learning
I Creusen, O Walter, H Lundin
Semantic analysis of spoken input using Markov logic networks
V Despotovic, O Walter, R Haeb-Umbach
Proceedings of the 16th Annual Conference of the International Speech …, 2015
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
Unsupervised Word Discovery from Speech using Bayesian Hierarchical Models
O Walter, R Häb-Umbach
38th German Conference on Pattern Recognition (GCPR 2016), 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
A Novel Initialization Method for Unsupervised Learning of Acoustic Patterns in Speech (FGNT-2013-01)
O Walter, J Schmalenstroeer, R Haeb-Umbach
Prediction of incipient speech in audio/video conferences
O Walter, F Lindstrom, I Creusen
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