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检索条件"机构=Pattern Recognition and Human Language"
401 条 记 录,以下是81-90 订阅
排序:
CONFORMER-BASED HYBRID ASR SYSTEM FOR SWITCHBOARD DATASET
arXiv
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arXiv 2021年
作者: Zeineldeen, Mohammad Xu, Jingjing Lüscher, Christoph Michel, Wilfried Gerstenberger, Alexander Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
The recently proposed conformer architecture has been successfully used for end-to-end automatic speech recognition (ASR) architectures achieving state-of-the-art performance on different datasets. To our best knowled... 详细信息
来源: 评论
Comparing the benefit of synthetic training data for various automatic speech recognition architectures
arXiv
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arXiv 2021年
作者: Rossenbach, Nick Zeineldeen, Mohammad Hilmes, Benedikt Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
Recent publications on automatic-speech-recognition (ASR) have a strong focus on attention encoder-decoder (AED) architectures which tend to suffer from over-fitting in low resource scenarios. One solution to tackle t... 详细信息
来源: 评论
On architectures and training for raw waveform feature extraction in ASR
arXiv
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arXiv 2021年
作者: Vieting, Peter Lüscher, Christoph Michel, Wilfried Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
With the success of neural network based modeling in automatic speech recognition (ASR), many studies investigated acoustic modeling and learning of feature extractors directly based on the raw waveform. Recently, one... 详细信息
来源: 评论
Generating Synthetic Audio Data for Attention-Based Speech recognition Systems
Generating Synthetic Audio Data for Attention-Based Speech R...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Nick Rossenbach Albert Zeyer Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition RWTH Aachen University Germany
Recent advances in text-to-speech (TTS) led to the development of flexible multi-speaker end-to-end TTS systems. We extend state-of-the-art attention-based automatic speech recognition (ASR) systems with synthetic aud...
来源: 评论
On sampling-based training criteria for neural language modeling
arXiv
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arXiv 2021年
作者: Gao, Yingbo Thulke, David Gerstenberger, Alexander Tran, Khoa Viet Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department Rwth Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
As the vocabulary size of modern word-based language models becomes ever larger, many sampling-based training criteria are proposed and investigated. The essence of these sampling methods is that the softmax-related t... 详细信息
来源: 评论
Context-dependent acoustic modeling without explicit phone clustering
arXiv
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arXiv 2020年
作者: Raissi, Tina Beck, Eugen Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group RWTH Aachen University
Phoneme-based acoustic modeling of large vocabulary automatic speech recognition takes advantage of phoneme context. The large number of context-dependent (CD) phonemes and their highly varying statistics require tyin... 详细信息
来源: 评论
Self-Normalized Importance Sampling for Neural language Modeling
arXiv
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arXiv 2021年
作者: Yang, Zijian Gao, Yingbo Gerstenberger, Alexander Jiang, Jintao Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Group Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
To mitigate the problem of having to traverse over the full vocabulary in the softmax normalization of a neural language model, sampling-based training criteria are proposed and investigated in the context of large vo... 详细信息
来源: 评论
Fusion of Visual and Textual Features for Table Header Detection in Handwritten Text Images
Fusion of Visual and Textual Features for Table Header Detec...
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International Conference on Computational Science and Computational Intelligence (CSCI)
作者: Addisson Salazar Jose Ramó n Prieto Enrique Vidal Gonzalo Safont Luis Vergara Institute of Telecommunications and Multimedia Applications iTEAM Universitat Polit&#x00E8 cnica de Val&#x00E8 ncia Valencia Spain Pattern Recognition and Human Language Technology PRHLT Universitat Polit&#x00E8
This paper introduces a new procedure to improve table header detection in handwritten text images from the fusion of the posterior probabilities provided by two baseline classifiers. Each classifier considers a diffe...
来源: 评论
Two demonstrations of the machine translation applications to historical documents
arXiv
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arXiv 2021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
We present our demonstration of two machine translation applications to historical documents. The first task consists in generating a new version of a historical document, written in the modern version of its original... 详细信息
来源: 评论
The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid Hmm With Specaugment
The Rwth Asr System for Ted-Lium Release 2: Improving Hybrid...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Wei Zhou Wilfried Michel Kazuki Irie Markus Kitza Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition RWTH Aachen University Aachen 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...
来源: 评论