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检索条件"机构=Pattern Recognition and Human Language"
401 条 记 录,以下是101-110 订阅
排序:
Interactive-Predictive Neural Multimodal Systems  9th
Interactive-Predictive Neural Multimodal Systems
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9th Iberian Conference on pattern recognition and Image Analysis, IbPRIA 2019
作者: Peris, Álvaro Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València Valencia Spain
Despite the advances achieved by neural models in sequence to sequence learning, exploited in a variety of tasks, they still make errors. In many use cases, these are corrected by a human expert in a posterior revisio... 详细信息
来源: 评论
Fine-Grained Visual Classification with Efficient End-to-end Localization y 202
arXiv
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arXiv 2020年
作者: Hanselmann, Harald Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University Aachen Germany AppTek GmbH Aachen Germany
The term fine-grained visual classification (FGVC) refers to classification tasks where the classes are very similar and the classification model needs to be able to find subtle differences to make the correct predict... 详细信息
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Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture
arXiv
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arXiv 2020年
作者: Brix, Christopher Bahar, Parnia Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany
Sparse models require less memory for storage and enable a faster inference by reducing the necessary number of FLOPs. This is relevant both for time-critical and on-device computations using neural networks. The stab... 详细信息
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Automatic Semantic Segmentation of Structural Elements related to the Spinal Cord in the Lumbar Region by using Convolutional Neural Networks
Automatic Semantic Segmentation of Structural Elements relat...
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International Conference on pattern recognition
作者: Jhon Jairo Saenz-Gamboa Maria de la Iglesia-Vayá Jon A. Gómez Biomedical Imaging Joint Unit Foundation for the Promotion of Health and Biomedical Research FISABIO-CIPF València Spain Pattern Recognition and Human Language Technology research center Universitat Politècnica de València València Spain
This work addresses the problem of automatically segmenting the MR images corresponding to the lumbar spine. The purpose is to detect and delimit the different structural elements like vertebrae, intervertebral discs,... 详细信息
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Phoneme based neural transducer for large vocabulary speech recognition
arXiv
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arXiv 2020年
作者: Zhou, Wei Berger, Simon Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
To join the advantages of classical and end-to-end approaches for speech recognition, we present a simple, novel and competitive approach for phoneme-based neural transducer modeling. Different alignment label topolog... 详细信息
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FULL-SUM DECODING FOR HYBRID HMM BASED SPEECH recognition USING LSTM language MODEL
arXiv
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arXiv 2020年
作者: Zhou, Wei Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
In hybrid HMM based speech recognition, LSTM language models have been widely applied and achieved large improvements. The theoretical capability of modeling any unlimited context suggests that no recombination should... 详细信息
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Early stage LM integration using local and global log-linear combination
arXiv
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arXiv 2020年
作者: Michel, Wilfried Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52056 Germany AppTek GmbH Aachen52062 Germany
Sequence-to-sequence models with an implicit alignment mechanism (e.g. attention) are closing the performance gap towards traditional hybrid hidden Markov models (HMM) for the task of automatic speech recognition. One... 详细信息
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A new training pipeline for an improved neural transducer
arXiv
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arXiv 2020年
作者: Zeyer, Albert Merboldt, André Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52062 Germany AppTek GmbH Aachen52062 Germany
The RNN transducer is a promising end-to-end model candidate. We compare the original training criterion with the full marginalization over all alignments, to the commonly used maximum approximation, which simplifies,... 详细信息
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The rwth asr system for ted-lium release 2: improving hybrid hmm with specaugment
arXiv
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arXiv 2020年
作者: Zhou, Wei Michel, Wilfried Irie, Kazuki Kitza, Markus Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
We present a complete training pipeline to build a state-of-the-art hybrid HMM-based ASR system on the 2nd release of the TED-LIUM corpus. Data augmentation using SpecAugment is successfully applied to improve perform... 详细信息
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Robust Beam Search for Encoder-Decoder Attention Based Speech recognition without Length Bias
arXiv
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arXiv 2020年
作者: Zhou, Wei Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
As one popular modeling approach for end-to-end speech recognition, attention-based encoder-decoder models are known to suffer the length bias and corresponding beam problem. Different approaches have been applied in ... 详细信息
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