2006 |
10 | | Jochen Schwenninger,
Raymond Brueckner,
Daniel Willett,
Marcus E. Hennecke:
Language Identification in Vocal Music.
ISMIR 2006: 377-379 |
2003 |
9 | | Thomas Niesler,
Daniel Willett:
Unsupervised adaptation of statistical language models for speech recognition.
South African Computer Journal 30: 52-59 (2003) |
2000 |
8 | | Anja Brakensiek,
Daniel Willett,
Gerhard Rigoll:
Unlimited Vocabulary Script Recognition Using Character N-Grams.
DAGM-Symposium 2000: 436-443 |
7 | EE | Anja Brakensiek,
Daniel Willett,
Gerhard Rigoll:
Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-Grams.
ICPR 2000: 4438-4441 |
1999 |
6 | | Anja Brakensiek,
Andreas Kosmala,
Daniel Willett,
Gerhard Rigoll:
Vergleich verschiedener statistischer Modellierungsverfahren für die On- und Off-line Handschriftenerkennung.
DAGM-Symposium 1999: 70-77 |
5 | EE | Andreas Kosmala,
Daniel Willett,
Gerhard Rigoll:
Advanced State Clustering for Very Large Vocabulary HMM-based On-Line Handwriting Recognition.
ICDAR 1999: 442-445 |
4 | EE | 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 |
1998 |
3 | | Stefan Müller,
Gerhard Rigoll,
Denis Mazurenok,
Daniel Willett:
Invariante Erkennung handskizzierter Piktogramme mit Anwendungsmöglichkeiten in der inhaltsorientierten Bilddatenbankabfrage.
DAGM-Symposium 1998: 271-278 |
2 | EE | Daniel Willett,
Gerhard Rigoll:
Speech recognition with a new hybrid architecture combining neural networks and continuous HMM.
ESANN 1998: 243-248 |
1997 |
1 | | Daniel Willett,
Gerhard Rigoll:
Hybrid NN/HMM-Based Speech Recognition with a Discriminant Neural Feature Extraction.
NIPS 1997 |