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检索条件"机构=Pattern Recognition and Human Language"
401 条 记 录,以下是151-160 订阅
排序:
On using specaugment for end-to-end speech translation
arXiv
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arXiv 2019年
作者: Bahar, Parnia Zeyer, Albert Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Aachen52062 Germany AppTek Aachen52062 Germany
This work investigates a simple data augmentation technique, SpecAugment, for end-to-end speech translation. SpecAugment is a low-cost implementation method applied directly to the audio input features and it consists...
来源: 评论
Cumulative adaptation for BLSTM acoustic models
arXiv
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arXiv 2019年
作者: Kitza, Markus Golik, Pavel Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
This paper addresses the robust speech recognition problem as an adaptation task. Specifically, we investigate the cumulative application of adaptation methods. A bidirectional Long Short-Term Memory (BLSTM) based neu... 详细信息
来源: 评论
On using 2D sequence-to-sequence models for speech recognition
arXiv
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arXiv 2019年
作者: Bahar, Parnia Zeyer, Albert Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany AppTek McLean United States
Attention-based sequence-to-sequence models have shown promising results in automatic speech recognition. Using these architectures, one-dimensional input and output sequences are related by an attention approach, the... 详细信息
来源: 评论
language modeling with deep transformers
arXiv
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arXiv 2019年
作者: Irie, Kazuki Zeyer, Albert Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
We explore deep autoregressive Transformer models in language modeling for speech recognition. We focus on two aspects. First, we revisit Transformer model configurations specifically for language modeling. We show th... 详细信息
来源: 评论
Modernizing Historical Documents: a User Study
arXiv
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arXiv 2019年
作者: Domingo, Miguel Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València Camino de Vera s/n Valencia46022 Spain
Accessibility to historical documents is mostly limited to scholars. This is due to the language barrier inherent in human language and the linguistic properties of these documents. Given a historical document, modern... 详细信息
来源: 评论
Improved training of end-to-end attention models for speech recognition  19
Improved training of end-to-end attention models for speech ...
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19th Annual Conference of the International Speech Communication, INTERSPEECH 2018
作者: Zeyer, Albert Irie, Kazuki Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52062 Germany AppTek United States NNAISENSE Switzerland
Sequence-to-sequence attention-based models on subword units allow simple open-vocabulary end-to-end speech recognition. In this work, we show that such models can achieve competitive results on the Switchboard 300h a... 详细信息
来源: 评论
Creating the best development corpus for Statistical Machine Translation systems  21
Creating the best development corpus for Statistical Machine...
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21st Annual Conference of the European Association for Machine Translation, EAMT 2018
作者: Chinea-Rios, Mara Sanchis-Trilles, Germán Casacuberta, Francisco Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de València València Spain Sciling València Spain
We propose and study three different novel approaches for tackling the problem of development set selection in Statistical Machine Translation. We focus on a scenario where a machine translation system is leveraged fo... 详细信息
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On the choice of modeling unit for sequence-to-sequence speech recognition
arXiv
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arXiv 2019年
作者: Irie, Kazuki Prabhavalkar, Rohit Kannan, Anjuli Bruguier, Antoine Rybach, David Nguyen, Patrick Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University AachenD-52056 Germany Google Mountain ViewCA94043 United States
来源: 评论
Advances on the Transcription of Historical Manuscripts based on Multimodality, Interactivity and Crowdsourcing  4
Advances on the Transcription of Historical Manuscripts base...
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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
The transcription of digitalised documents is useful to ease the digital access to their contents. Natural language technologies, such as Automatic Speech recognition (ASR) for speech audio signals and Handwritten Tex... 详细信息
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Calibration of Deep Probabilistic Models with Decoupled Bayesian Neural Networks
arXiv
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arXiv 2019年
作者: Maroñas, Juan Paredes, Roberto Ramos, Daniel PRHLT - Pattern Recognition and Human Language Technology Research Center Universitat Politècnica de Valencia Spain AUDIAS - Audio Data Intelligence and Speech Universidad Autónoma de Madrid Spain
Deep Neural Networks (DNNs) have achieved state-of-the-art accuracy performance in many tasks. However, recent works have pointed out that the outputs provided by these models are not well-calibrated, seriously limiti... 详细信息
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