Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
A tutorial survey of architectures, algorithms, and applications for deep learning
L Deng - APSIPA transactions on Signal and Information …, 2014 - cambridge.org
In this invited paper, my overview material on the same topic as presented in the plenary
overview session of APSIPA-2011 and the tutorial material presented in the same …
overview session of APSIPA-2011 and the tutorial material presented in the same …
[PDF][PDF] Three classes of deep learning architectures and their applications: a tutorial survey
L Deng - APSIPA transactions on signal and information …, 2012 - academia.edu
In this invited paper, my overview material on the same topic as presented in the plenary
overview session of APSIPA-2011 and the tutorial material presented in the same …
overview session of APSIPA-2011 and the tutorial material presented in the same …
Deep learning: methods and applications
This monograph provides an overview of general deep learning methodology and its
applications to a variety of signal and information processing tasks. The application areas …
applications to a variety of signal and information processing tasks. The application areas …
[BOG][B] Handbook of natural language processing
N Indurkhya, FJ Damerau - 2010 - taylorfrancis.com
The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …
and techniques for implementing natural language processing in computer systems. Along …
Graphical model architectures for speech recognition
JA Bilmes, C Bartels - IEEE signal processing magazine, 2005 - ieeexplore.ieee.org
This article discusses the foundations of the use of graphical models for speech recognition
as presented in JR Deller et al.(1993), XD Huang et al.(2001), F. Jelinek (19970, LR Rabiner …
as presented in JR Deller et al.(1993), XD Huang et al.(2001), F. Jelinek (19970, LR Rabiner …
An overview of deep-structured learning for information processing
L Deng - Proc. asian-pacific signal & information proc. annual …, 2011 - microsoft.com
In this paper, I will introduce to the APSIPA audience an emerging area of machine learning,
deep-structured learning. It refers to a class of machine learning techniques, developed …
deep-structured learning. It refers to a class of machine learning techniques, developed …
[DOC][DOC] Deep learning for signal and information processing
This short monograph contains the material expanded from two tutorials that the authors
gave, one at APSIPA in October 2011 and the other at ICASSP in March 2012. Substantial …
gave, one at APSIPA in October 2011 and the other at ICASSP in March 2012. Substantial …
A dynamic, feature-based approach to the interface between phonology and phonetics for speech modeling and recognition
L Deng - Speech communication, 1998 - Elsevier
An overview of a statistical paradigm for speech recognition is given where phonetic and
phonological knowledge sources, drawn from the current understanding of the global …
phonological knowledge sources, drawn from the current understanding of the global …
Production models as a structural basis for automatic speech recognition
We postulate in this paper that highly structured speech production models will have much
to contribute to the ultimate success of speech recognition in view of the weaknesses of the …
to contribute to the ultimate success of speech recognition in view of the weaknesses of the …
Foundations and trends in signal processing: Deep learning–methods and applications
This monograph provides an overview of general deep learning methodology and its
applications to a variety of signal and information processing tasks. The application areas …
applications to a variety of signal and information processing tasks. The application areas …