Global ETD Search
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Showing 1 to 4 of 4 for “"Large-Vocabulary Continuous Speech Recognition (LVCSR)"”.
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Integrate template matching and statistical modeling for continuous speech recognition
… with statistical modeling is proposed to improve continuous speech recognition. Commonly used Hidden Markov Models (HMMs) are ineffective in modeling details of speech temporal evolutions, which can be overcome by template-based methods. However, template-based methods are difficult to be extended …
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Syllables and Concepts in Large Vocabulary Speech Recognition
… to words is the gold standard in automatic speech recognition. While recognizing that orthographic transcription is a valuable technique for comparing speech recognition systems without respect to application, it must also be recognized that transcription is not something that human beings …
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Spoken Language Understanding: from Spoken Utterances to Semantic Structures
… ``How may I help you'' project from AT\&T, with Large Vocabulary Continuous Speech Recognition (LVCSR) and mixed initiatives spoken interfaces, started the second generation of conversational systems, which later have been improved integrating approaches based on machine learning techniques. The …
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Pronunciation modeling for large vocabulary speech recognition
The large pronunciation variability of words in conversational speech is one of the major causes of low accuracy in automatic speech recognition (ASR). Many pronunciation modeling approaches have been developed to address this problem. Some explicitly manipulate the pronunciation dictionary as well …