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2015 CHILEAN Conference on Electrical, Electronics Engineering, Information and Communication Technologies (CHILECON), 2015
This Plenary presents automatic speech recognition (ASR) as a task of artificial intelligence. The basis, the methodology, spectral processing, distance measures for speech, segmentation speech, spectral and temporal variability, application of Markov Models, noise robustness, Language Models for ASR, are presented.
Dong Yu, Li Deng
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This Plenary presents automatic speech recognition (ASR) as a task of artificial intelligence. The basis, the methodology, spectral processing, distance measures for speech, segmentation speech, spectral and temporal variability, application of Markov Models, noise robustness, Language Models for ASR, are presented.
Dong Yu, Li Deng
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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, 2000
Speech recognition is carried out by matching parameterized speech with a dynamically extended network of paths comprising model linguistic elements (12b, 12c). The units are context related, e.g. triphones. Some elements cannot be converted to models at the time when it is necessary to incorporate the element into the paths because the context is not ...
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Speech recognition is carried out by matching parameterized speech with a dynamically extended network of paths comprising model linguistic elements (12b, 12c). The units are context related, e.g. triphones. Some elements cannot be converted to models at the time when it is necessary to incorporate the element into the paths because the context is not ...
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2021
This chapter is entirely dedicated to automatic speech recognition (ASR) which is one of the most complex fields of machine learning. Topics from signal processing and the properties of the acoustic signal to acoustic and language modeling, pronunciation modeling and performance analysis will all be explained in an easily comprehensible manner.
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This chapter is entirely dedicated to automatic speech recognition (ASR) which is one of the most complex fields of machine learning. Topics from signal processing and the properties of the acoustic signal to acoustic and language modeling, pronunciation modeling and performance analysis will all be explained in an easily comprehensible manner.
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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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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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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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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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Turbo Automatic Speech Recognition
IEEE/ACM Transactions on Audio, Speech, and Language Processing, 2016Performance of automatic speech recognition (ASR) systems can significantly be improved by integrating further sources of information such as additional modalities, or acoustic channels, or acoustic models. Given the arising problem of information fusion, striking parallels to problems in digital communications are exhibited, where the discovery of the
Simon Receveur +2 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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