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检索条件"机构=Pattern Recognition and Human Language"
401 条 记 录,以下是211-220 订阅
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Advances in Arabic broadcast news transcription at RWTH
Advances in Arabic broadcast news transcription at RWTH
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IEEE Workshop on Automatic Speech recognition and Understanding
作者: David Rybach Stefan Hahn Christian Gollan Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Germany
This paper describes the RWTH speech recognition system for Arabic. Several design aspects of the system, including cross-adaptation, multiple system design and combination, are analyzed. We summarize the semi-automat... 详细信息
来源: 评论
Offline Features for Classifying Handwritten Math Symbols with Recurrent Neural Networks
Offline Features for Classifying Handwritten Math Symbols wi...
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International Conference on pattern recognition
作者: Francisco Álvaro Joan-Andreu Sánchez José-Miguel Benedí Pattern Recognition and Human Language Technologies Universitat Politècnica de València Spain
In mathematical expression recognition, symbol classification is a crucial step. Numerous approaches for recognizing handwritten math symbols have been published, but most of them are either an online approach or a hy... 详细信息
来源: 评论
Investigations on byte-level convolutional neural networks for language modeling in low resource speech recognition
Investigations on byte-level convolutional neural networks f...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Kazuki Irie Pavel Golik Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Germany
In this paper, we present an investigation on technical details of the byte-level convolutional layer which replaces the conventional linear word projection layer in the neural language model. In particular, we discus... 详细信息
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Morpheme-based feature-rich language models using Deep Neural Networks for LVCSR of Egyptian Arabic
Morpheme-based feature-rich language models using Deep Neura...
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2013 38th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
作者: El-Desoky Mousa, Amr Kuo, Hong-Kwang Jeff Mangu, Lidia Soltau, Hagen Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University 52056 Aachen Germany IBM T. J. Watson Research Center Yorktown Heights NY 10598 United States
Egyptian Arabic (EA) is a colloquial version of Arabic. It is a low-resource morphologically rich language that causes problems in Large Vocabulary Continuous Speech recognition (LVCSR). Building LMs on morpheme level... 详细信息
来源: 评论
Development of the 2007 RWTH Mandarin LVCSR system
Development of the 2007 RWTH Mandarin LVCSR system
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IEEE Workshop on Automatic Speech recognition and Understanding
作者: Bjorn Hoffmeister Christian Plahl Peter Fritz Georg Heigold Jonas Loof Ralf Schluter Hermann Ney Human Language and Pattern Recognition Computer Science Department 6 RWTH Aachen University Germany
This paper describes the development of the RWTH Mandarin LVCSR system. Different acoustic front-ends together with multiple system cross-adaptation are used in a two stage decoding framework. We describe the system i... 详细信息
来源: 评论
A random forest approach for authorship profiling  16
A random forest approach for authorship profiling
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16th Conference and Labs of the Evaluation Forum, CLEF 2015
作者: Palomino-Garibay, Alonso Camacho-González, Adolfo T. Fierro-Villaneda, Ricardo A. Hernández-Farias, Irazú Buscaldi, Davide Meza-Ruiz, Ivan V. Ciudad de Mexico Mexico Ciudad de Mexico Mexico Pattern Recognition and Human Language Technology Universitat Politécnica de Valencia Valencia Spain Universite Paris 13 Sorbonne Paris Cité Villetaneuse France
In this paper we present our approach to extract profile information from anonymized tweets for the author profiling task at PAN 2015 [10]. Particularly we explore the versatility of random forest classifiers for the ... 详细信息
来源: 评论
Improvement of Context Dependent Modeling for Arabic Handwriting recognition
Improvement of Context Dependent Modeling for Arabic Handwri...
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International Workshop on Frontiers in Handwriting recognition
作者: Mahdi Hamdani Patrick Doetsch Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
This paper proposes the improvement of context dependent modeling for Arabic handwriting recognition. Since the number of parameters in context dependent models is huge, CART trees are used for state tying. This work ... 详细信息
来源: 评论
A comparative analysis of dynamic network decoding
A comparative analysis of dynamic network decoding
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: David Rybach Ralf Schlüter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
The use of statically compiled search networks for ASR systems using huge vocabularies and complex language models often becomes challenging in terms of memory requirements. Dynamic network decoders introduce addition... 详细信息
来源: 评论
Powerful extensions to CRFS for grapheme to phoneme conversion
Powerful extensions to CRFS for grapheme to phoneme conversi...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Stefan Hahn Patrick Lehnen Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
Conditional Random Fields (CRFs) have proven to per form well on natural language processing tasks like name transliteration, concept tagging or grapheme-to-phoneme (g2p) conversion. The aim of this paper is to propos... 详细信息
来源: 评论
Comparison and combination of different CRBE based MLP features for LVCSR
Comparison and combination of different CRBE based MLP featu...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Zoltán Tüske Ralf Schlüter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
Multi Layer Perceptron (MLP) features extracted from different types of critical band energies (CRBE) - derived from MFCC, GT, and PLP pipeline - are compared on French broadcast news and conversational speech recogni... 详细信息
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