Spoken Language Understanding in Dialogue System, M.Sc. Thesis Sharif University of Technology ; Sameti, Hossein (Supervisor)
Abstract
In contrast to automatic speech recognition (ASR), which converts a speaker’s spoken utterance into a text string, spoken language understanding (SLU) is aimed at interpreting user’s intentions from their speech utterances. Traditionally, this has been accomplished by writing context-free grammars (CFGs) or unification grammars (UGs) manually. The manual grammar authoring process is laborious and expensive, requiring much expertise. In addition, robustness is a vital requirement of these modules, because the input of these modules comes from a speech recognition unit and always contains errors. In recent years, many data-driven models have been proposed for spoken language understanding, but...
Cataloging briefSpoken Language Understanding in Dialogue System, M.Sc. Thesis Sharif University of Technology ; Sameti, Hossein (Supervisor)
Abstract
In contrast to automatic speech recognition (ASR), which converts a speaker’s spoken utterance into a text string, spoken language understanding (SLU) is aimed at interpreting user’s intentions from their speech utterances. Traditionally, this has been accomplished by writing context-free grammars (CFGs) or unification grammars (UGs) manually. The manual grammar authoring process is laborious and expensive, requiring much expertise. In addition, robustness is a vital requirement of these modules, because the input of these modules comes from a speech recognition unit and always contains errors. In recent years, many data-driven models have been proposed for spoken language understanding, but...
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