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检索条件"机构=Human Language Technology and Pattern"
385 条 记 录,以下是211-220 订阅
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Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions  40
Unsupervised adaptation of a denoising autoencoder by Bayesi...
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40th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2015
作者: Heymann, Jahn Haeb-Umbach, Reinhold Golik, Pavel Schluter, Ralf University of Paderborn Department of Communications Engineering Paderborn Germany RWTH Aachen University Human Language Technology and Pattern Recognition Computer Science Department Aachen Aachen Germany
The parametric Bayesian Feature Enhancement (BFE) and a datadriven Denoising Autoencoder (DA) both bring performance gains in severe single-channel speech recognition conditions. The first can be adjusted to different... 详细信息
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Speeding up 2D-warping for pose-invariant face recognition
Speeding up 2D-warping for pose-invariant face recognition
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International Conference on Automatic Face and Gesture Recognition
作者: Harald Hanselmann Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany
Recently, state-of-the-art recognition accuracies for pose-invariant face recognition have been achieved by using 2D-Warping methods in a nearest-neighbor framework. However, the main drawback of these methods is the ... 详细信息
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Speaker adaptive joint training of Gaussian mixture models and bottleneck features
Speaker adaptive joint training of Gaussian mixture models a...
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IEEE Workshop on Automatic Speech Recognition and Understanding
作者: Zoltán Tüske Pavel Golik Ralf Schlüter Hermann Ney Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany
In the tandem approach, the output of a neural network (NN) serves as input features to a Gaussian mixture model (GMM) aiming to improve the emission probability estimates. As has been shown in our previous work, GMM ... 详细信息
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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
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Bagging by design for continuous Handwriting Recognition using multi-objective particle swarm optimization
Bagging by design for continuous Handwriting Recognition usi...
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International Conference on Document Analysis and Recognition
作者: Mahdi Hamdani Patrick Doetsch Hermann Ney Human Language Technology and Pattern Recognition Group - RWTH Aachen University Germany Spoken Language Processing Group LIMSI CNRS Paris France
Multiple classifier systems are used to improve baseline results using different strategies. Bagging by design improves standard bagging by the minimization of intersection between the different ensembles. This work p... 详细信息
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Combining handwriting and speech recognition for transcribing historical handwritten documents
Combining handwriting and speech recognition for transcribin...
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International Conference on Document Analysis and Recognition
作者: Emilio Granell Carlos-D. Martínez-Hinarejos Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València Valencia Spain
Transcription of historical documents is an interesting task for libraries in order to make available their funds. In the lasts years, the use of Handwritten Text Recognition allowed paleographs to speed up the manual... 详细信息
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Influence of text line segmentation in Handwritten Text Recognition  13
Influence of text line segmentation in Handwritten Text Reco...
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13th International Conference on Document Analysis and Recognition, ICDAR 2015
作者: Romero, Veronica Sanchez, Joan Andreu Bosch, Vicente Depuydt, Katrien De Does, Jesse Pattern Recognition and Human Language Technology Universitat Politècnica de València Camí de Vera S/n València Spain Instituut voor Nederlandse Lexicologie 2300RA Matthias de Vrieshof 2-3 Leiden2311 BZ Netherlands
Text line segmentation is the process by which text lines in a document image are localized and extracted. It is an important step in off-line Handwritten Text Recognition (HTR) given that the input of these systems i... 详细信息
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Deep Learning of Mouth Shapes for Sign language
Deep Learning of Mouth Shapes for Sign Language
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International Conference on Computer Vision Workshops (ICCV Workshops)
作者: Oscar Koller Hermann Ney Richard Bowden Human Language Technology & Pattern Recog. RWTH Aachen University Germany Centre for Vision Speech & Signal Processing University of Surrey UK
This paper deals with robust modelling of mouth shapes in the context of sign language recognition using deep convolutional neural networks. Sign language mouth shapes are difficult to annotate and thus hardly any pub... 详细信息
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Extensions of the Sign language Recognition and Translation Corpus RWTH-PHOENIX-Weather  9
Extensions of the Sign Language Recognition and Translation ...
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9th International Conference on language Resources and Evaluation (LREC)
作者: Forster, Jens Schmidt, Christoph Koller, Oscar Bellgardt, Martin Ney, Hermann Human Language Technology and Pattern Recognition RWTH Aachen University Germany
This paper introduces the RWTH-PHOENIX-Weather 2014, a video-based, large vocabulary, German sign language corpus which has been extended over the last two years, tripling the size of the original corpus. The corpus c... 详细信息
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Investigation of Segmental Conditional Random Fields for large vocabulary handwriting recognition
Investigation of Segmental Conditional Random Fields for lar...
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International Conference on Document Analysis and Recognition
作者: Mahdi Hamdani M. Ali Basha Shaik Patrick Doetsch Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany Rheinisch-Westfalische Technische Hochschule Aachen Aachen Nordrhein-Westfalen DE Spoken Language Processing Group LIMSI CNRS Paris France
Multiple types of models are used in handwriting recognition and can be broadly categorized into generative and discriminative models. Gaussian Hidden Markov Models are used successfully in most of the systems. Discri... 详细信息
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