Efficient setup of acoustic models for large vocabulary continuous speech recognition
- Alternative title
-
Effiziente Entwicklung akustischer Modelle für kontinuierliche Spracherkennungssysteme mit großem Vokabular
- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Aachen, Techn. Hochsch., Dissertation, 2014
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2015
- Creator
- Contributor
- URN
-
urn:nbn:de:hbz:82-rwth-2015-033258
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:50 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.
Associated
- Gollan, Christian
- Ney, Hermann
- Lamel, Lori
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2015
Other Objects (12)
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Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR
Learning Acoustic Features from the Raw Waveform for Automatic Speech Recognition
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition
Investigations on acoustic model speaker adaptation
Discriminative feature modeling for statistical speech recognition
Towards online-recognition with deep bidirectional LSTM acoustic models
Advancing neural language modeling in automatic speech recognition
Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks
Optimization of discriminative models for speech and handwriting recognition
Data-driven deep modeling and training for automatic speech recognition
Progress in Decoding for Large Vocabulary Continuous Speech Recognition
Investigation on language modelling approaches for open vocabulary speech recognition
Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR
Learning Acoustic Features from the Raw Waveform for Automatic Speech Recognition
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition
Investigations on acoustic model speaker adaptation
Discriminative feature modeling for statistical speech recognition
Towards online-recognition with deep bidirectional LSTM acoustic models
Advancing neural language modeling in automatic speech recognition
Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks
Optimization of discriminative models for speech and handwriting recognition
Data-driven deep modeling and training for automatic speech recognition
Progress in Decoding for Large Vocabulary Continuous Speech Recognition
Investigation on language modelling approaches for open vocabulary speech recognition
Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR
Learning Acoustic Features from the Raw Waveform for Automatic Speech Recognition
Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition
Investigations on acoustic model speaker adaptation
Discriminative feature modeling for statistical speech recognition
Towards online-recognition with deep bidirectional LSTM acoustic models
Advancing neural language modeling in automatic speech recognition
Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks
Optimization of discriminative models for speech and handwriting recognition