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检索条件"机构=Pattern Recognition and Human Language"
401 条 记 录,以下是161-170 订阅
排序:
Improving Transcription of Manuscripts with Multimodality and Interaction  4
Improving Transcription of Manuscripts with Multimodality an...
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4th International Conference on Advances in Speech and language Technologies for Iberian languages, IberSPEECH 2018
作者: Granell, Emilio Martínez-Hinarejos, Carlos-D. Romero, Verónica Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València Camí de Vera s/n València46022 Spain
State-of-the-art Natural language recognition systems allow transcribers to speed-up the transcription of audio, video or image documents. These systems provide transcribers an initial draft transcription that can be ... 详细信息
来源: 评论
Sample drop detection for distant-speech recognition with asynchronous devices distributed in space
arXiv
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arXiv 2019年
作者: Raissi, Tina Pascual, Santiago Omologo, Maurizio Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany Universitat Politècnica de Catalunya Barcelona Spain Center for Information and Communication Technology Fondazione Bruno Kessler Trento Italy
In many applications of multi-microphone multi-device processing, the synchronization among different input channels can be affected by the lack of a common clock and isolated drops of samples. In this work, we addres... 详细信息
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Automatic Semantic Segmentation of the Lumbar Spine: Clinical Applicability in a Multi-parametric and Multi-centre Study on Magnetic Resonance Images
arXiv
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arXiv 2021年
作者: Sáenz-Gamboa, Jhon Jairo Domenech, Julio Alonso-Manjarrés, Antonio Gómez, Jon A. de la Iglesia-Vayá, Maria Av. de Catalunya 21 València46020 Spain Orthopedic Surgery Department Hospital Arnau de Vilanova Carrer de San Clemente s/n València46015 Spain Radiology Department Hospital Arnau de Vilanova Carrer de San Clemente s/n València46015 Spain Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València Camí de Vera s/n València46022 Spain Regional Ministry of Universal Health and Public Health in Valencia Carrer de Misser Mascó 31 València46010 Spain
One of the major difficulties in medical image segmentation is the high variability of these images, which is caused by their origin (multi-centre), the acquisition protocols (multi-parametric), as well as the variabi... 详细信息
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Optimizing Energies for Pose-Invariant Face recognition
Optimizing Energies for Pose-Invariant Face Recognition
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International Conference on pattern recognition
作者: Harald Hanselmann Hermann Ney Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany
One of the most difficult challenges in face recognition is the large variation in pose. One approach to handle this problem is to use a 2D-Warping algorithm in a nearest-neighbor classifier. The 2D-Warping algorithm ... 详细信息
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Speaker adapted beamforming for multi-channel automatic speech recognition
arXiv
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arXiv 2018年
作者: Menne, Tobias Schluter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany
This paper presents, in the context of multi-channel ASR, a method to adapt a mask based, statistically optimal beamforming approach to a speaker of interest. The beamforming vector of the statistically optimal beamfo... 详细信息
来源: 评论
ACOUSTIC MODELING OF SPEECH WAVEFORM BASED ON MULTI-RESOLUTION, NEURAL NETWORK SIGNAL PROCESSING
ACOUSTIC MODELING OF SPEECH WAVEFORM BASED ON MULTI-RESOLUTI...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Zoltán Tüske Ralf Schlüter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University 52056 Aachen Germany
Recently, several papers have demonstrated that neural networks (NN) are able to perform the feature extraction as part of the acoustic model. Motivated by the Gammatone feature extraction pipeline, in this paper we e... 详细信息
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Sign language Gesture Classification Using Neural Networks  4
Sign Language Gesture Classification Using Neural Networks
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4th International Conference on Advances in Speech and language Technologies for Iberian languages, IberSPEECH 2018
作者: Parcheta, Zuzanna Martínez-Hinarejos, Carlos-D. Sciling S.L. Carrer del Riu 321 Pinedo 46012 Spain Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València Camino de Vera s/n 46022 Spain
Recent studies have demonstrated the power of neural networks for different fields of artificial intelligence. In most fields, such as machine translation or speech recognition, neural networks outperform previously u... 详细信息
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Prediction of LSTM-RNN Full Context States as a Subtask for N-Gram Feedforward language Models
Prediction of LSTM-RNN Full Context States as a Subtask for ...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Kazuki Irie Zhihong Lei Ralf Schlüter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University D-52056 Aachen Germany
Long short-term memory (LSTM) recurrent neural network language models compress the full context of variable lengths into a fixed size vector. In this work, we investigate the task of predicting the LSTM hidden repres... 详细信息
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Unsupervised training for large vocabulary translation using sparse lexicon andword classes  15
Unsupervised training for large vocabulary translation using...
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15th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2017
作者: Kim, Yunsu Schamper, Julian Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Germany
We address for the first time unsupervised training for a translation task with hundreds of thousands of vocabulary words. We scale up the expectation-maximization (EM) algorithm to learn a large translation table wit... 详细信息
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Towards two-dimensional sequence to sequence model in neural machine translation
arXiv
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arXiv 2018年
作者: Bahar, Parnia Brix, Christopher Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department Rwth Aachen University AachenD-52056 Germany
This work investigates an alternative model for neural machine translation (NMT) and proposes a novel architecture, where we employ a multi-dimensional long short-term memory (MDLSTM) for translation modeling. In the ... 详细信息
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