Results 241 to 250 of about 315,110 (278)
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The Journal of the Acoustical Society of America, 2007
A system for responding to spoken commands enables a computer system to avoid some synchronization problems. In certain embodiments, object oriented programming may be utilized to create an object which seamlessly coordinates between an application program and a speech engine.
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A system for responding to spoken commands enables a computer system to avoid some synchronization problems. In certain embodiments, object oriented programming may be utilized to create an object which seamlessly coordinates between an application program and a speech engine.
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Active learning for automatic speech recognition
IIEEE International Conference on Acoustics Speech and Signal Processing, 2002State-of-the-art speech recognition systems are trained using transcribed utterances, preparation of which is labor intensive and time-consuming. In this paper, we describe a new method for reducing the transcription effort for training in automatic speech recognition (ASR). Active learning aims at reducing the number of training examples to be labeled
Riccardi, Giuseppe, D. Tur, A. Gorin
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2014
In this chapter we describe techniques to build a high performance speech recognizer for Arabic and related languages. The key insights are derived from our experience in the DARPA GALE program, a 5-year program devoted to enhancing the state-of-the-art in Arabic speech recognition and translation.
Hagen Soltau +6 more
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In this chapter we describe techniques to build a high performance speech recognizer for Arabic and related languages. The key insights are derived from our experience in the DARPA GALE program, a 5-year program devoted to enhancing the state-of-the-art in Arabic speech recognition and translation.
Hagen Soltau +6 more
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The Journal of the Acoustical Society of America, 2005
Great strides have been made in the development of automatic speech recognition (ASR) technology over the past thirty years. Most of this effort has been centered around the extension and improvement of Hidden Markov Model (HMM) approaches to ASR. Current commercially-available and industry systems based on HMMs can perform well for certain situational
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Great strides have been made in the development of automatic speech recognition (ASR) technology over the past thirty years. Most of this effort has been centered around the extension and improvement of Hidden Markov Model (HMM) approaches to ASR. Current commercially-available and industry systems based on HMMs can perform well for certain situational
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1997
Sound waves in general and speech in particular consist of disturbances traveling through the air. These disturbances are described by the air displacement, air density, and air pressure. All of these quantities are time and space dependent. Sound waves have the following properties which may be either confirmed experimentally or derived from physical ...
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Sound waves in general and speech in particular consist of disturbances traveling through the air. These disturbances are described by the air displacement, air density, and air pressure. All of these quantities are time and space dependent. Sound waves have the following properties which may be either confirmed experimentally or derived from physical ...
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2009
Automatic speech recognition (ASR) is a critical component for CHIL services. For example, it provides the input to higher-level technologies, such as summarization and question answering, as discussed in Chapter 8. In the spirit of ubiquitous computing, the goal of ASR in CHIL is to achieve a high performance using far-field sensors (networks of ...
Gerasimos Potamianos +10 more
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Automatic speech recognition (ASR) is a critical component for CHIL services. For example, it provides the input to higher-level technologies, such as summarization and question answering, as discussed in Chapter 8. In the spirit of ubiquitous computing, the goal of ASR in CHIL is to achieve a high performance using far-field sensors (networks of ...
Gerasimos Potamianos +10 more
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The Journal of the Acoustical Society of America, 1998
A scheme for recognizing speech represented by a sequence of frames of acoustic events separated by boundaries, according to which the frames of speech are processed to assign to received frames respective boundary probabilities representative of the degree to which the frames of speech correspond to stored representations of boundaries between ...
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A scheme for recognizing speech represented by a sequence of frames of acoustic events separated by boundaries, according to which the frames of speech are processed to assign to received frames respective boundary probabilities representative of the degree to which the frames of speech correspond to stored representations of boundaries between ...
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2020
There are basically two application modes for automatic speech recognition (ASR): using speech as spoken input or as knowledge source. Spoken input addresses applications like dictation systems and navigation (transactional) systems. Using speech as a knowledge source has applications like multimedia indexing systems. The chapter presents the stages of
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There are basically two application modes for automatic speech recognition (ASR): using speech as spoken input or as knowledge source. Spoken input addresses applications like dictation systems and navigation (transactional) systems. Using speech as a knowledge source has applications like multimedia indexing systems. The chapter presents the stages of
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Automatic speech recognition for children
5th European Conference on Speech Communication and Technology (Eurospeech 1997), 1997Alexandros Potamianos +2 more
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