Daniel Willett - researchr alias

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Viewing Publication 1 - 52 from 52

2021

Bootstrap an End-to-End ASR System by Multilingual Training, Transfer Learning, Text-to-Text Mapping and Synthetic AudioManuel Giollo, Deniz Gunceler, Yulan Liu, Daniel Willett. interspeech 2021: 2416-2420 [doi]

Using Synthetic Audio to Improve the Recognition of Out-of-Vocabulary Words in End-to-End Asr SystemsXianrui Zheng, Yulan Liu, Deniz Gunceler, Daniel Willett. icassp 2021: 5674-5678 [doi]

2020

Improving Speech Recognition of Compound-Rich LanguagesPrabhat Pandey, Volker Leutnant, Simon Wiesler, Jahn Heymann, Daniel Willett. interspeech 2020: 4936-4940 [doi]

2019

2015

Deep neural network training emphasizing central framesGakuto Kurata, Daniel Willett. interspeech 2015: 3595-3599 [doi]

2014

Child automatic speech recognition for US English: child interaction with living-room-electronic-devicesSharmistha S. Gray, Daniel Willett, Jianhua Lu, Joel Pinto, Paul Maergner, Nathan Bodenstab. wocci 2014: 21-26 [doi]

Channel mapping using bidirectional long short-term memory for dereverberation in hands-free voice controlled devicesZixing Zhang, Joel Pinto, Christian Plahl, Björn Schuller, Daniel Willett. tce, 60(3):525-533, 2014. [doi]

2013

Investigation on cross- and multilingual MLP features under matched and mismatched acoustical conditionsZoltán Tüske, Joel Pinto, Daniel Willett, Ralf Schlüter. icassp 2013: 7349-7353 [doi]

2008

Discriminative training for complementariness in system combinationDaniel Willett, Chuang He. interspeech 2008: 919 [doi]

2006

2005

Context-Dependent Duration ModelingDaniel Willett. icassp 2005: 421-424 [doi]

2004

Error - weighted discriminative training for HMM parameter estimationDaniel Willett. interspeech 2004: 1661-1664 [doi]

2003

Language model adaptation using WFST-based speaking-style translationTakaaki Hori, Daniel Willett, Yasuhiro Minami. icassp 2003: 228-231 [doi]

Unsupervised adaptation of statistical language models for speech recognitionThomas Niesler, Daniel Willett. saj, 30:52-59, 2003.

Pervasive unsupervised adaptation for lecture speech transcriptionDaniel Willett, Thomas Niesler, Erik McDermott, Yasuhiro Minami, Shigeru Katagiri. icassp 2003: 292-295 [doi]

2002

Unsupervised language model adaptation for lecture speech transcriptionThomas Niesler, Daniel Willett. interspeech 2002: 1413-1416 [doi]

Recent advances in efficient decoding combining on-line transducer composition and smoothed language model incorporationDaniel Willett, Shigeru Katagiri. icassp 2002: 713-716 [doi]

2001

2000

Unlimited Vocabulary Script Recognition Using Character N-GramsAnja Brakensiek, Daniel Willett, Gerhard Rigoll. dagm 2000: 436-443

Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-GramsAnja Brakensiek, Daniel Willett, Gerhard Rigoll. icpr 2000: 4438-4441 [doi]

Compound splitting and lexical unit recombination for improved performance of a speech recognition system for German parliamentary speechesMartha Larson, Daniel Willett, Joachim Köhler, Gerhard Rigoll. interspeech 2000: 945-948 [doi]

Frame-discriminative and confidence-driven adaptation for LVCSRFrank Wallhoff, Daniel Willett, Gerhard Rigoll. icassp 2000: 1835-1838 [doi]

Beiträge zur statistischen Modellierung und effizienten Dekodierung in der automatischen SpracherkennungDaniel Willett. PhD thesis, University of Duisburg-Essen, 2000. [doi]

DUcoder-the Duisburg University LVCSR stackdecoderDaniel Willett, Christoph Neukirchen, Gerhard Rigoll. icassp 2000: 1555-1558 [doi]

1999

Performance Evaluation of a New Hybrid Modeling Technique for Handwriting Recognition using On-Line and Off-Line DataAnja Brakensiek, Andreas Kosmala, Daniel Willett, Wenwei Wang, Gerhard Rigoll. icdar 1999: 446-449 [doi]

Vergleich verschiedener statistischer Modellierungsverfahren für die On- und Off-line HandschriftenerkennungAnja Brakensiek, Andreas Kosmala, Daniel Willett, Gerhard Rigoll. dagm 1999: 70-77

Advanced State Clustering for Very Large Vocabulary HMM-based On-Line Handwriting RecognitionAndreas Kosmala, Daniel Willett, Gerhard Rigoll. icdar 1999: 442-445 [doi]

Speaker adaptation using regularization and network adaptation for hybrid MMI-NN/HMM speech recognitionJörg Rottland, Christoph Neukirchen, Daniel Willett, Gerhard Rigoll. interspeech 1999: 219-222 [doi]

A discriminative training procedure based on language model and dictionary for LVCSRDaniel Willett, Stefan Müller, Gerhard Rigoll. interspeech 1999: 2757-2760 [doi]

Refining tree-based state clustering by means of formal concept analysis, balanced decision trees and automatically generated model-setsDaniel Willett, Christoph Neukirchen, Jörg Rottland, Gerhard Rigoll. icassp 1999: 565-568 [doi]

1998

Invariante Erkennung handskizzierter Piktogramme mit Anwendungsmöglichkeiten in der inhaltsorientierten BilddatenbankabfrageStefan Müller, Gerhard Rigoll, Denis Mazurenok, Daniel Willett. dagm 1998: 271-278

Exploiting acoustic feature correlations by joint neural vector quantizer design in a discrete HMM systemChristoph Neukirchen, Daniel Willett, Stefan Eickeler, Stefan Müller. icassp 1998: 5-8 [doi]

Soft state-tying for HMM-based speech recognitionChristoph Neukirchen, Daniel Willett, Gerhard Rigoll. interspeech 1998: [doi]

A NN/HMM hybrid for continuous speech recognition with a discriminant nonlinear feature extractionGerhard Rigoll, Daniel Willett. icassp 1998: 9-12 [doi]

A new hybrid approach to large vocabulary cursive handwriting recognitionGerhard Rigoll, Andreas Kosmala, Daniel Willett. icpr 1998: 1512-1514 [doi]

A German dialogue system for scheduling dates and meetings by naturally spoken continuous speechDaniel Willett, Arno Romer, Jörg Rottland, Gerhard Rigoll. interspeech 1998: [doi]

Confidence measures for HMM-based speech recognitionDaniel Willett, Andreas Worm, Christoph Neukirchen, Gerhard Rigoll. interspeech 1998: [doi]

Speech recognition with a new hybrid architecture combining neural networks and continuous HMMDaniel Willett, Gerhard Rigoll. esann 1998: 243-248 [doi]

Efficient search with posterior probability estimates in HMM-based speech recognitionDaniel Willett, Christoph Neukirchen, Gerhard Rigoll. icassp 1998: 821-824 [doi]

1997

Reduced lexicon trees for decoding in a MMIi-connectionist/HMM speech recognition systemChristoph Neukirchen, Daniel Willett, Gerhard Rigoll. interspeech 1997: 2639-2642 [doi]

Performance of hybrid MMI-connectionist/HMM systems on the WSJ speech databaseJörg Rottland, Christoph Neukirchen, Daniel Willett. icassp 1997: 1747-1750 [doi]

Large vocabulary speech recognition with context dependent MMI-connectionist / HMM systems using the WSJ databaseJörg Rottland, Christoph Neukirchen, Daniel Willett, Gerhard Rigoll. interspeech 1997: 79-82 [doi]

Dictionary-based discriminative HMM parameter estimation for continuous speech recognition systemsDaniel Willett, Christoph Neukirchen, Jörg Rottland. icassp 1997: 1515-1518 [doi]

A new approach to generalized mixture tying for continuous HMM-based speech recognitionDaniel Willett, Gerhard Rigoll. interspeech 1997: 1175-1178 [doi]

Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature ExtractionDaniel Willett, Gerhard Rigoll. nips 1998: 763-769

1990

Overview of the space station communications networksJoseph F. Smith, Daniel Willett, Sunil Paul. network, 4(5):22-28, 1990. [doi]

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