Hochschulschrift
Discriminative training of linear transformations and mixture density splitting for speech recognition
- Alternative title
-
Diskriminatives Training von linearen Transformationen und diskriminativ aufgeteilte Mischverteilungen für Spracherkennung
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
RWTH Aachen University, Dissertation, 2015
- Classification
-
Englisch
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2015
- Creator
- Contributor
- URN
-
urn:nbn:de:hbz:82-rwth-2016-056276
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:56 PM CET
Data provider
This object is provided by:
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Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Object type
- Hochschulschrift
Associated
- Tahir, Muhammad Ali
- Ney, Hermann
- Häb-Umbach, Reinhold
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2015
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Investigation on language modelling approaches for open vocabulary speech recognition
Efficient setup of acoustic models for large vocabulary continuous speech recognition
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition
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RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition
Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Discriminative feature modeling for statistical speech recognition
Advancing neural language modeling in automatic speech recognition
Progress in Decoding for Large Vocabulary Continuous Speech Recognition
Optimization of discriminative models for speech and handwriting recognition
Data-driven deep modeling and training for automatic speech recognition
Investigation on language modelling approaches for open vocabulary speech recognition
Efficient setup of acoustic models for large vocabulary continuous speech recognition
Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition
RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition
Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR