Dokument öffnen
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Allgemeine Angaben |
| Autor |
Justo, Raquel; Saz, Oscar; Miguel, Antonio; Torres, M. Inés; Lleida, Eduardo |
| Erschienen |
InTech Open Access Publisher, 2013
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| Ausgabe |
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| Umfang |
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| ISBN |
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| Kurzbeschreibung |
This work focuses on speech‐based humanmachine
interaction. Specifically, a Spoken Dialogue
System (SDS) that could be integrated into a robot is
considered. Since Automatic Speech Recognition is one of
the most sensitive tasks that must be confronted in such
systems, the goal of this work is to improve the results
obtained by this specific module. In order to do so, a
hierarchical Language Model (LM) is considered.
Different series of experiments were carried out using the
proposed models over different corpora and tasks. The
results obtained show that these models provide greater
accuracy in the recognition task. Additionally, the
influence of the Acoustic Modelling (AM) in the
improvement percentage of the Language Models has
also been explored. Finally the use of hierarchical
Language Models in a language understanding task has
been successfully employed, as shown in an additional
series of experiments. |
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International Journal of Advanced Robotic Systems
Autor: Ottaviano, Erika; Ceccarelli, Marco; Husty, Manfred; Yu, Sung-Hoon; Kim, Yong-Tae; Park, Chang-Woo; Hyun, Chang-Ho; Chen, Xiulong; Feng, Weiming; Sun, Xianyang; Gao, Qing; Grigorescu, Sorin M.; Pozna, Claudiu; Liu, Wanli; Zhankui, Wang; Guo, Meng; Fu, Guoyu; Zhang, Jin; Chen, Wenyuan; Peng, Fengchao; Yang, Pei; Chen, Chunlin; Ding, Rui; Yu, Junzhi; Yang, Qinghai; Tan, Min; Polden, Joseph; Pan, [...]
Erschienen: 2004
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