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3 de mar. de 2013 · This paper presents a meta-analysis of the SPHINX system and its applications to speech recognition, finding a good unit of speech and finding a Good Unit of Speech that learns and adapts to new environments.
Book Title: Automatic Speech Recognition. Book Subtitle: The Development of the SPHINX System. Authors: Kai-Fu Lee. Series Title: The Springer International Series in Engineering and Computer Science. DOI: https://doi.org/10.1007/978-1-4615-3650-5. Publisher: Springer New York, NY. eBook Packages: Springer Book Archive
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This tutorial presents an overview of automatic speech recognition systems, featuring a mathematical formulation and related aspects of the main algorithms of each component of a speech recognizer and current techniques for improving speech recognition performance.
This article discusses the automatic recognition of Cued Speech in French based on hidden Markov models (HMMs). Cued Speech is a visual mode which, by using hand shapes in different positions and in combination with lip patterns of speech, makes all the ...
Automatic Speech Recognition: The Development of the SPHINX System. Kai-Fu Lee. Springer Science & Business Media, Oct 31, 1988 - Technology & Engineering - 207 pages. Speech Recognition has a long history of being one of the difficult problems in Artificial Intelligence and Computer Science.
Automatic Speech Recognition: The Development of the SPHINX System. Table of contents. 1. Introduction.- 2. Hidden Markov Modeling of Speech.- 3. Task and Databases.- 4. The Baseline SPHINX System.- 5. Adding Knowledge.- 6.
