Prediction-driven Computational Auditory Scene Analysis

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Publisher :
ISBN 13 : 9780805827262
Total Pages : pages
Book Rating : 4.8/5 (272 download)

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Book Synopsis Prediction-driven Computational Auditory Scene Analysis by : Daniel P. W. Ellis

Download or read book Prediction-driven Computational Auditory Scene Analysis written by Daniel P. W. Ellis and published by . This book was released on with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Prediction-driven Computational Auditory Scene Analysis

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Publisher :
ISBN 13 : 9780805827255
Total Pages : 180 pages
Book Rating : 4.8/5 (272 download)

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Book Synopsis Prediction-driven Computational Auditory Scene Analysis by : Daniel P. W. Ellis

Download or read book Prediction-driven Computational Auditory Scene Analysis written by Daniel P. W. Ellis and published by . This book was released on 1996 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Auditory Scene Analysis

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Publisher : CRC Press
ISBN 13 : 1000149323
Total Pages : 417 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Computational Auditory Scene Analysis by : David F. Rosenthal

Download or read book Computational Auditory Scene Analysis written by David F. Rosenthal and published by CRC Press. This book was released on 2021-02-01 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interest of AI in problems related to understanding sounds has a rich history dating back to the ARPA Speech Understanding Project in the 1970s. While a great deal has been learned from this and subsequent speech understanding research, the goal of building systems that can understand general acoustic signals--continuous speech and/or non-speech sounds--from unconstrained environments is still unrealized. Instead, there are now systems that understand "clean" speech well in relatively noiseless laboratory environments, but that break down in more realistic, noisier environments. As seen in the "cocktail-party effect," humans and other mammals have the ability to selectively attend to sound from a particular source, even when it is mixed with other sounds. Computers also need to be able to decide which parts of a mixed acoustic signal are relevant to a particular purpose--which part should be interpreted as speech, and which should be interpreted as a door closing, an air conditioner humming, or another person interrupting. Observations such as these have led a number of researchers to conclude that research on speech understanding and on nonspeech understanding need to be united within a more general framework. Researchers have also begun trying to understand computational auditory frameworks as parts of larger perception systems whose purpose is to give a computer integrated information about the real world. Inspiration for this work ranges from research on how different sensors can be integrated to models of how humans' auditory apparatus works in concert with vision, proprioception, etc. Representing some of the most advanced work on computers understanding speech, this collection of papers covers the work being done to integrate speech and nonspeech understanding in computer systems.

Computational Auditory Scene Analysis

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Publisher : CRC Press
ISBN 13 : 100010611X
Total Pages : 414 pages
Book Rating : 4.0/5 (1 download)

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Book Synopsis Computational Auditory Scene Analysis by : David F. Rosenthal

Download or read book Computational Auditory Scene Analysis written by David F. Rosenthal and published by CRC Press. This book was released on 2021-01-31 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: The interest of AI in problems related to understanding sounds has a rich history dating back to the ARPA Speech Understanding Project in the 1970s. While a great deal has been learned from this and subsequent speech understanding research, the goal of building systems that can understand general acoustic signals--continuous speech and/or non-speech sounds--from unconstrained environments is still unrealized. Instead, there are now systems that understand "clean" speech well in relatively noiseless laboratory environments, but that break down in more realistic, noisier environments. As seen in the "cocktail-party effect," humans and other mammals have the ability to selectively attend to sound from a particular source, even when it is mixed with other sounds. Computers also need to be able to decide which parts of a mixed acoustic signal are relevant to a particular purpose--which part should be interpreted as speech, and which should be interpreted as a door closing, an air conditioner humming, or another person interrupting. Observations such as these have led a number of researchers to conclude that research on speech understanding and on nonspeech understanding need to be united within a more general framework. Researchers have also begun trying to understand computational auditory frameworks as parts of larger perception systems whose purpose is to give a computer integrated information about the real world. Inspiration for this work ranges from research on how different sensors can be integrated to models of how humans' auditory apparatus works in concert with vision, proprioception, etc. Representing some of the most advanced work on computers understanding speech, this collection of papers covers the work being done to integrate speech and nonspeech understanding in computer systems.

Computational Auditory Scene Analysis

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Publisher : Wiley-IEEE Press
ISBN 13 :
Total Pages : 432 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Computational Auditory Scene Analysis by : Deliang Wang

Download or read book Computational Auditory Scene Analysis written by Deliang Wang and published by Wiley-IEEE Press. This book was released on 2006-09-29 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: Provides a comprehensive and coherent account of the state of the art in CASA, in terms of the underlying principles, the algorithms and system architectures that are employed, and the potential applications of this exciting new technology.

Computational Auditory Scene Analysis

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (14 download)

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Book Synopsis Computational Auditory Scene Analysis by : Joanna Luberadzka

Download or read book Computational Auditory Scene Analysis written by Joanna Luberadzka and published by . This book was released on 2023 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Special Issue on Computational Auditory Scene Analysis

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Publisher :
ISBN 13 :
Total Pages : 212 pages
Book Rating : 4.:/5 (246 download)

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Book Synopsis Special Issue on Computational Auditory Scene Analysis by : Martin Cooke

Download or read book Special Issue on Computational Auditory Scene Analysis written by Martin Cooke and published by . This book was released on 1999 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt:

IJCAI-97

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Publisher : Morgan Kaufmann
ISBN 13 : 9781558604803
Total Pages : 1720 pages
Book Rating : 4.6/5 (48 download)

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Book Synopsis IJCAI-97 by : International Joint Conferences on Artificial Intelligence

Download or read book IJCAI-97 written by International Joint Conferences on Artificial Intelligence and published by Morgan Kaufmann. This book was released on 1997 with total page 1720 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Analysis of Sound Scenes and Events

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Publisher : Springer
ISBN 13 : 331963450X
Total Pages : 417 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Computational Analysis of Sound Scenes and Events by : Tuomas Virtanen

Download or read book Computational Analysis of Sound Scenes and Events written by Tuomas Virtanen and published by Springer. This book was released on 2017-09-21 with total page 417 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents computational methods for extracting the useful information from audio signals, collecting the state of the art in the field of sound event and scene analysis. The authors cover the entire procedure for developing such methods, ranging from data acquisition and labeling, through the design of taxonomies used in the systems, to signal processing methods for feature extraction and machine learning methods for sound recognition. The book also covers advanced techniques for dealing with environmental variation and multiple overlapping sound sources, and taking advantage of multiple microphones or other modalities. The book gives examples of usage scenarios in large media databases, acoustic monitoring, bioacoustics, and context-aware devices. Graphical illustrations of sound signals and their spectrographic representations are presented, as well as block diagrams and pseudocode of algorithms.

Computational Auditory Scene Analysis

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Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (841 download)

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Book Synopsis Computational Auditory Scene Analysis by : Deliang Wang

Download or read book Computational Auditory Scene Analysis written by Deliang Wang and published by . This book was released on 2006 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Integrating Computational Auditory Scene Analysis and Automatic Speech Recognition

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Publisher :
ISBN 13 :
Total Pages : 186 pages
Book Rating : 4.:/5 (839 download)

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Book Synopsis Integrating Computational Auditory Scene Analysis and Automatic Speech Recognition by : Soundararajan Srinivasan

Download or read book Integrating Computational Auditory Scene Analysis and Automatic Speech Recognition written by Soundararajan Srinivasan and published by . This book was released on 2006 with total page 186 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: Speech perception studies indicate that robustness of human speech recognition is primarily due to our ability to segregate a target sound source from other interferences. This perceptual process of auditory scene analysis (ASA) is of two types, primitive and schema-driven. This dissertation investigates several aspects of integrating computational ASA (CASA) and automatic speech recognition (ASR). While bottom-up CASA are used as front-end for ASR to improve its robustness, ASR is used to provide top-down information to enhance primitive segregation. Listeners are able to restore masked phonemes by utilizing lexical context. We present a schema-based model for phonemic restoration. The model employs missing-data ASR to decode masked speech and activates word templates via dynamic time warping. A systematic evaluation shows that the model restores both voiced and unvoiced phonemes with a high spectral quality. Missing-data ASR requires a binary mask from bottom-up CASA that identifies speech-dominant time-frequency regions of a noisy mixture. We propose a two-pass system that performs segregation and recognition in tandem. First, an n-best lattice, consistent with bottom-up speech separation, is generated. Second, the lattice is re-scored using a model-based hypothesis test to improve mask estimation and recognition accuracy concurrently. By combining CASA and ASR, we present a model that simulates listeners' ability to attend to a target speaker when degraded by energetic and informational masking. Missing-data ASR is used to account for energetic masking and the output degradation of CASA is used to model informational masking. The model successfully simulates several quantitative aspects of listener performance. The degradation in the output of CASA-based front-ends leads to uncertain ASR inputs. We estimate feature uncertainties in the spectral domain and transform them into the cepstral domain via nonlinear regression. The estimated uncertainty substantially improves recognition accuracy. We also investigate the effect of vocabulary size on conventional and missing-data ASRs. Based on binaural cues, for conventional ASR, we extract the speech signal using a Wiener filter and for missing-data ASR, we estimate a binary mask. We find that while missing-data ASR outperforms conventional ASR on a small vocabulary task, the relative performance reverses on a larger vocabulary task.

Speech Enhancement

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Publisher : Springer Science & Business Media
ISBN 13 : 3540274898
Total Pages : 416 pages
Book Rating : 4.5/5 (42 download)

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Book Synopsis Speech Enhancement by : Jacob Benesty

Download or read book Speech Enhancement written by Jacob Benesty and published by Springer Science & Business Media. This book was released on 2006-03-30 with total page 416 pages. Available in PDF, EPUB and Kindle. Book excerpt: A strong reference on the problem of signal and speech enhancement, describing the newest developments in this exciting field. The general emphasis is on noise reduction, because of the large number of applications that can benefit from this technology.

Mid-level Representations for Computational Auditory Scene Analysis

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Publisher :
ISBN 13 :
Total Pages : 7 pages
Book Rating : 4.:/5 (366 download)

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Book Synopsis Mid-level Representations for Computational Auditory Scene Analysis by : Daniel Patrick Whittlesey Ellis

Download or read book Mid-level Representations for Computational Auditory Scene Analysis written by Daniel Patrick Whittlesey Ellis and published by . This book was released on 1995 with total page 7 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Speech Enhancement

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Publisher : Springer Science & Business Media
ISBN 13 : 9783540240396
Total Pages : 432 pages
Book Rating : 4.2/5 (43 download)

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Book Synopsis Speech Enhancement by : Shoji Makino

Download or read book Speech Enhancement written by Shoji Makino and published by Springer Science & Business Media. This book was released on 2005-03-17 with total page 432 pages. Available in PDF, EPUB and Kindle. Book excerpt: We live in a noisy world! In all applications (telecommunications, hands-free communications, recording, human-machine interfaces, etc) that require at least one microphone, the signal of interest is usually contaminated by noise and reverberation. As a result, the microphone signal has to be "cleaned" with digital signal processing tools before it is played out, transmitted, or stored. This book is about speech enhancement. Different well-known and state-of-the-art methods for noise reduction, with one or multiple microphones, are discussed. By speech enhancement, we mean not only noise reduction but also dereverberation and separation of independent signals. These topics are also covered in this book. However, the general emphasis is on noise reduction because of the large number of applications that can benefit from this technology. The goal of this book is to provide a strong reference for researchers, engineers, and graduate students who are interested in the problem of signal and speech enhancement. To do so, we invited well-known experts to contribute chapters covering the state of the art in this focused field.

Computational Auditory Scene Analysis

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ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (271 download)

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Book Synopsis Computational Auditory Scene Analysis by : Guy Jason Brown

Download or read book Computational Auditory Scene Analysis written by Guy Jason Brown and published by . This book was released on 1992 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Computational Auditory Scene Analysis

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Publisher :
ISBN 13 : 9780805822847
Total Pages : 399 pages
Book Rating : 4.8/5 (228 download)

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Book Synopsis Computational Auditory Scene Analysis by : David F. Rosenthal

Download or read book Computational Auditory Scene Analysis written by David F. Rosenthal and published by . This book was released on 1998 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: Representing some of the most advanced work on computers understanding speech, this collection of papers covers the work being done to integrate speech and non-speech understanding in computer systems.

Computational Intelligence: Research Frontiers

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Publisher : Springer Science & Business Media
ISBN 13 : 3540688587
Total Pages : 402 pages
Book Rating : 4.5/5 (46 download)

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Book Synopsis Computational Intelligence: Research Frontiers by : Gary G. Yen

Download or read book Computational Intelligence: Research Frontiers written by Gary G. Yen and published by Springer Science & Business Media. This book was released on 2008-05-13 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: This state-of-the-art survey offers a renewed and refreshing focus on the progress in nature-inspired and linguistically motivated computation. The book presents the expertise and experiences of leading researchers spanning a diverse spectrum of computational intelligence in the areas of neurocomputing, fuzzy systems, evolutionary computation, and adjacent areas. The result is a balanced contribution to the field of computational intelligence that should serve the community not only as a survey and a reference, but also as an inspiration for the future advancement of the state of the art of the field. The 18 selected chapters originate from lectures and presentations given at the 5th IEEE World Congress on Computational Intelligence, WCCI 2008, held in Hong Kong, China, in June 2008. After an introduction to the field and an overview of the volume, the chapters are divided into four topical sections on machine learning and brain computer interface, fuzzy modeling and control, computational evolution, and applications.