Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
In: Interspeech 2018 , Hyderabad , India , 2018-09-02 - 2018-09-06
- Event
-
Veröffentlichung
- (where)
-
Aachen
- (who)
-
Universitätsbibliothek der RWTH Aachen
- (when)
-
2018
- Creator
- DOI
-
10.18154/RWTH-CONV-236784
- URN
-
urn:nbn:de:101:1-2019082906293718230331
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:49 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Beck, Eugen
- Hannemann, Mirko
- Doetsch, Patrick
- Schlüter, Ralf
- Ney, Hermann
- Universitätsbibliothek der RWTH Aachen
Time of origin
- 2018
Other Objects (12)
Progress in Decoding for Large Vocabulary Continuous Speech Recognition
Investigation on language modelling approaches for open vocabulary speech recognition
Efficient setup of acoustic models for large vocabulary continuous speech recognition
Advancing neural language modeling in automatic speech recognition
Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks
Data-driven deep modeling and training for automatic speech recognition
Automatic sign language recognition : from video corpora to gloss sentences
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition
A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Learning Acoustic Features from the Raw Waveform for Automatic Speech Recognition
Neural network based modeling and architectures for automatic speech recognition and machine translation
Progress in Decoding for Large Vocabulary Continuous Speech Recognition
Investigation on language modelling approaches for open vocabulary speech recognition
Efficient setup of acoustic models for large vocabulary continuous speech recognition
Advancing neural language modeling in automatic speech recognition
Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks
Data-driven deep modeling and training for automatic speech recognition
Automatic sign language recognition : from video corpora to gloss sentences
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition
A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Learning Acoustic Features from the Raw Waveform for Automatic Speech Recognition
Neural network based modeling and architectures for automatic speech recognition and machine translation
Progress in Decoding for Large Vocabulary Continuous Speech Recognition
Investigation on language modelling approaches for open vocabulary speech recognition
Efficient setup of acoustic models for large vocabulary continuous speech recognition
Advancing neural language modeling in automatic speech recognition
Towards large vocabulary continuous sign language recognition: from artificial to real-life tasks
Data-driven deep modeling and training for automatic speech recognition
Automatic sign language recognition : from video corpora to gloss sentences
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition
A Comparative Study on Vocabulary Reduction for Phrase Table Smoothing
Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information
Learning Acoustic Features from the Raw Waveform for Automatic Speech Recognition