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Daniel Willett
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2020 – today
- 2021
- [c48]Xianrui Zheng, Yulan Liu, Deniz Gunceler, Daniel Willett:
Using Synthetic Audio to Improve the Recognition of Out-of-Vocabulary Words in End-to-End Asr Systems. ICASSP 2021: 5674-5678 - [c47]Manuel Giollo, Deniz Gunceler, Yulan Liu, Daniel Willett:
Bootstrap an End-to-End ASR System by Multilingual Training, Transfer Learning, Text-to-Text Mapping and Synthetic Audio. Interspeech 2021: 2416-2420 - 2020
- [c46]Prabhat Pandey, Volker Leutnant, Simon Wiesler, Jahn Heymann, Daniel Willett:
Improving Speech Recognition of Compound-Rich Languages. INTERSPEECH 2020: 4936-4940 - [i3]Xianrui Zheng, Yulan Liu, Deniz Gunceler, Daniel Willett:
Using Synthetic Audio to Improve The Recognition of Out-Of-Vocabulary Words in End-To-End ASR Systems. CoRR abs/2011.11564 (2020) - [i2]Manuel Giollo, Deniz Gunceler, Yulan Liu, Daniel Willett:
Bootstrap an end-to-end ASR system by multilingual training, transfer learning, text-to-text mapping and synthetic audio. CoRR abs/2011.12696 (2020)
2010 – 2019
- 2019
- [c45]Jessica A. F. Thompson, Marc Schönwiesner, Yoshua Bengio, Daniel Willett:
How Transferable Are Features in Convolutional Neural Network Acoustic Models across Languages? ICASSP 2019: 2827-2831 - [c44]Atta Norouzian, Bogdan Mazoure, Dermot Connolly, Daniel Willett:
Exploring Attention Mechanism for Acoustic-based Classification of Speech Utterances into System-directed and Non-system-directed. ICASSP 2019: 7310-7314 - [c43]Felix Weninger, Yang Sun, Junho Park, Daniel Willett, Puming Zhan:
Deep Learning Based Mandarin Accent Identification for Accent Robust ASR. INTERSPEECH 2019: 510-514 - [i1]Atta Norouzian, Bogdan Mazoure, Dermot Connolly, Daniel Willett:
Exploring attention mechanism for acoustic-based classification of speech utterances into system-directed and non-system-directed. CoRR abs/1902.00570 (2019) - 2015
- [c42]Gakuto Kurata, Daniel Willett:
Deep neural network training emphasizing central frames. INTERSPEECH 2015: 3595-3599 - 2014
- [j4]Zixing Zhang, Joel Pinto, Christian Plahl, Björn W. Schuller
, Daniel Willett:
Channel mapping using bidirectional long short-term memory for dereverberation in hands-free voice controlled devices. IEEE Trans. Consumer Electron. 60(3): 525-533 (2014) - [c41]Sharmistha S. Gray, Daniel Willett, Jianhua Lu, Joel Pinto, Paul Maergner, Nathan Bodenstab:
Child automatic speech recognition for US English: child interaction with living-room-electronic-devices. WOCCI 2014: 21-26 - 2013
- [c40]Zoltán Tüske, Joel Pinto, Daniel Willett, Ralf Schlüter
Investigation on cross- and multilingual MLP features under matched and mismatched acoustical conditions. ICASSP 2013: 7349-7353
2000 – 2009
- 2008
- [c39]Daniel Willett, Chuang He:
Discriminative training for complementariness in system combination. INTERSPEECH 2008: 919 - 2006
- [c38]Daniel Willett, Franz Gerl, Raymond Brueckner:
Discriminatively Trained Context-Dependent Duration-Bigram Models for Korean Digit Recognition. ICASSP (1) 2006: 25-28 - [c37]Ying Sun, Daniel Willett, Raymond Brueckner, Rainer Gruhn, Dirk Bühler:
Experiments on Chinese speech recognition with tonal models and pitch estimation using the Mandarin speecon data. INTERSPEECH 2006 - [c36]Jochen Schwenninger, Raymond Brueckner, Daniel Willett, Marcus E. Hennecke:
Language Identification in Vocal Music. ISMIR 2006: 377-379 - 2005
- [c35]Daniel Willett:
Context-Dependent Duration Modeling. ICASSP (1) 2005: 421-424 - 2004
- [c34]Daniel Willett:
Error - weighted discriminative training for HMM parameter estimation. INTERSPEECH 2004: 1661-1664 - 2003
- [j3]Thomas Niesler, Daniel Willett:
Unsupervised adaptation of statistical language models for speech recognition. South Afr. Comput. J. 30: 52-59 (2003) - [c33]Takaaki Hori, Daniel Willett, Yasuhiro Minami:
Language model adaptation using WFST-based speaking-style translation. ICASSP (1) 2003: 228-231 - [c32]Daniel Willett, Thomas Niesler, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri:
Pervasive unsupervised adaptation for lecture speech transcription. ICASSP (1) 2003: 292-295 - 2002
- [c31]Daniel Willett, Shigeru Katagiri:
Recent advances in efficient decoding combining on-line transducer composition and smoothed language model incorporation. ICASSP 2002: 713-716 - [c30]Thomas Niesler, Daniel Willett:
Unsupervised language model adaptation for lecture speech transcription. INTERSPEECH 2002: 1413-1416 - 2001
- [j2]Christoph Neukirchen, Jörg Rottland, Daniel Willett, Gerhard Rigoll:
A continuous density interpretation of discrete HMM systems and MMI-neural networks. IEEE Trans. Speech Audio Process. 9(4): 367-377 (2001) - [c29]Daniel Willett, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri:
Time and memory efficient viterbi decoding for LVCSR using a precompiled search network. INTERSPEECH 2001: 847-850 - [c28]Frank Wallhoff, Daniel Willett, Gerhard Rigoll:
Scaled likelihood linear regression for hidden Markov model adaptation. INTERSPEECH 2001: 1229-1232 - 2000
- [b1]Daniel Willett:
Beiträge zur statistischen Modellierung und effizienten Dekodierung in der automatischen Spracherkennung. University of Duisburg-Essen, Germany, 2000 - [c27]Anja Brakensiek, Daniel Willett, Gerhard Rigoll:
Unlimited Vocabulary Script Recognition Using Character N-Grams. DAGM-Symposium 2000: 436-443 - [c26]Daniel Willett, Christoph Neukirchen, Gerhard Rigoll:
DUcoder-the Duisburg University LVCSR stackdecoder. ICASSP 2000: 1555-1558 - [c25]Frank Wallhoff
Frame-discriminative and confidence-driven adaptation for LVCSR. ICASSP 2000: 1835-1838 - [c24]Anja Brakensiek, Daniel Willett, Gerhard Rigoll:
Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-Grams. ICPR 2000: 4438-4441 - [c23]Martha A. Larson, Daniel Willett, Joachim Köhler, Gerhard Rigoll:
Compound splitting and lexical unit recombination for improved performance of a speech recognition system for German parliamentary speeches. INTERSPEECH 2000: 945-948
1990 – 1999
- 1999
- [c22]Anja Brakensiek, Andreas Kosmala, Daniel Willett, Gerhard Rigoll:
Vergleich verschiedener statistischer Modellierungsverfahren für die On- und Off-line Handschriftenerkennung. DAGM-Symposium 1999: 70-77 - [c21]Daniel Willett, Christoph Neukirchen, Jörg Rottland, Gerhard Rigoll:
Refining tree-based state clustering by means of formal concept analysis, balanced decision trees and automatically generated model-sets. ICASSP 1999: 565-568 - [c20]Christoph Neukirchen, Daniel Willett, Gerhard Rigoll:
Experiments in topic indexing of broadcast news using neural networks. ICASSP 1999: 1093-1096 - [c19]Andreas Kosmala, Daniel Willett, Gerhard Rigoll:
Advanced State Clustering for Very Large Vocabulary HMM-based On-Line Handwriting Recognition. ICDAR 1999: 442-445 - [c18]Anja Brakensiek, Andreas Kosmala, Daniel Willett, Wenwei Wang, Gerhard Rigoll:
Performance Evaluation of a New Hybrid Modeling Technique for Handwriting Recognition using On-Line and Off-Line Data. ICDAR 1999: 446-449 - [c17]Jörg Rottland, Christoph Neukirchen, Daniel Willett, Gerhard Rigoll:
Speaker adaptation using regularization and network adaptation for hybrid MMI-NN/HMM speech recognition. EUROSPEECH 1999: 219-222 - [c16]Daniel Willett, Stefan Müller, Gerhard Rigoll:
A discriminative training procedure based on language model and dictionary for LVCSR. EUROSPEECH 1999: 2757-2760 - 1998
- [c15]Stefan Müller, Gerhard Rigoll, Denis Mazurenok, Daniel Willett:
Invariante Erkennung handskizzierter Piktogramme mit Anwendungsmöglichkeiten in der inhaltsorientierten Bilddatenbankabfrage. DAGM-Symposium 1998: 271-278 - [c14]Daniel Willett, Gerhard Rigoll:
Speech recognition with a new hybrid architecture combining neural networks and continuous HMM. ESANN 1998: 243-248 - [c13]Christoph Neukirchen, Daniel Willett, Stefan Eickeler, Stefan Müller:
Exploiting acoustic feature correlations by joint neural vector quantizer design in a discrete HMM system. ICASSP 1998: 5-8 - [c12]Gerhard Rigoll, Daniel Willett:
A NN/HMM hybrid for continuous speech recognition with a discriminant nonlinear feature extraction. ICASSP 1998: 9-12 - [c11]Daniel Willett, Christoph Neukirchen, Gerhard Rigoll:
Efficient search with posterior probability estimates in HMM-based speech recognition. ICASSP 1998: 821-824 - [c10]Gerhard Rigoll, Andreas Kosmala, Daniel Willett:
A new hybrid approach to large vocabulary cursive handwriting recognition. ICPR 1998: 1512-1514 - [c9]Christoph Neukirchen, Daniel Willett, Gerhard Rigoll:
Soft state-tying for HMM-based speech recognition. ICSLP 1998 - [c8]Daniel Willett, Arno Romer, Jörg Rottland, Gerhard Rigoll:
A German dialogue system for scheduling dates and meetings by naturally spoken continuous speech. ICSLP 1998 - [c7]Daniel Willett, Andreas Worm, Christoph Neukirchen, Gerhard Rigoll:
Confidence measures for HMM-based speech recognition. ICSLP 1998 - 1997
- [c6]Daniel Willett, Christoph Neukirchen, Jörg Rottland:
Dictionary-based discriminative HMM parameter estimation for continuous speech recognition systems. ICASSP 1997: 1515-1518 - [c5]Jörg Rottland, Christoph Neukirchen, Daniel Willett:
Performance of hybrid MMI-connectionist/HMM systems on the WSJ speech database. ICASSP 1997: 1747-1750 - [c4]Jörg Rottland, Christoph Neukirchen, Daniel Willett, Gerhard Rigoll:
Large vocabulary speech recognition with context dependent MMI-connectionist / HMM systems using the WSJ database. EUROSPEECH 1997: 79-82 - [c3]Daniel Willett, Gerhard Rigoll:
A new approach to generalized mixture tying for continuous HMM-based speech recognition. EUROSPEECH 1997: 1175-1178 - [c2]Christoph Neukirchen, Daniel Willett, Gerhard Rigoll:
Reduced lexicon trees for decoding in a MMIi-connectionist/HMM speech recognition system. EUROSPEECH 1997: 2639-2642 - [c1]Daniel Willett, Gerhard Rigoll:
Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction. NIPS 1997: 763-769 - 1990
- [j1]Joseph F. Smith, Daniel Willett, Sunil Paul:
Overview of the space station communications networks. IEEE Netw. 4(5): 22-28 (1990)
Coauthor Index
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