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检索条件"机构=Human Language Technology And Pattern Recognition Group"
397 条 记 录,以下是311-320 订阅
排序:
Robust Knowledge Distillation from RNN-T Models with Noisy Training Labels Using Full-Sum Loss
Robust Knowledge Distillation from RNN-T Models with Noisy T...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Mohammad Zeineldeen Kartik Audhkhasi Murali Karthick Baskar Bhuvana Ramabhadran Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany Google LLC New York
This work studies knowledge distillation (KD) and addresses its constraints for recurrent neural network transducer (RNN-T) models. In hard distillation, a teacher model transcribes large amounts of unlabelled speech ... 详细信息
来源: 评论
Enhancing and Adversarial: Improve ASR with Speaker Labels
Enhancing and Adversarial: Improve ASR with Speaker Labels
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Wei Zhou Haotian Wu Jingjing Xu Mohammad Zeineldeen Christoph Lüscher Ralf Schlüter Hermann Ney Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany AppTek GmbH Aachen Germany
ASR can be improved by multi-task learning (MTL) with domain enhancing or domain adversarial training, which are two opposite objectives with the aim to increase/decrease domain variance towards domain-aware/agnostic ... 详细信息
来源: 评论
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
来源: 评论
On the Relation Between Internal language Model and Sequence Discriminative Training for Neural Transducers
On the Relation Between Internal Language Model and Sequence...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Zijian Yang Wei Zhou Ralf Schlüter Hermann Ney Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany AppTek GmbH Aachen Germany
Internal language model (ILM) subtraction has been widely applied to improve the performance of the RNN-Transducer with external language model (LM) fusion for speech recognition. In this work, we show that sequence d...
来源: 评论
Lattice-Free Sequence Discriminative Training for Phoneme-Based Neural Transducers
Lattice-Free Sequence Discriminative Training for Phoneme-Ba...
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: Zijian Yang Wei Zhou Ralf Schlüter Hermann Ney Computer Science Department Human Language Technology and Pattern Recognition RWTH Aachen University Aachen Germany AppTek GmbH Aachen Germany
Recently, RNN-Transducers have achieved remarkable results on various automatic speech recognition tasks. However, lattice-free sequence discriminative training methods, which obtain superior performance in hybrid mod... 详细信息
来源: 评论
Why does CTC result in peaky behavior?
arXiv
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arXiv 2021年
作者: Zeyer, Albert Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany AppTek GmbH Aachen Germany
The peaky behavior of CTC models is well known experimentally. However, an understanding about why peaky behavior occurs is missing, and whether this is a good property. We provide a formal analysis of the peaky behav... 详细信息
来源: 评论
One decade of statistical machine translation: 1996-2005
One decade of statistical machine translation: 1996-2005
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IEEE Workshop on Automatic Speech recognition and Understanding
作者: H. Ney Human Language Technology and Pattern Recognition Lehrstuhl fur Informatik VI-Computer Science Department RWTH Aachen University Aachen Germany
In the last decade, the statistical approach has found widespread use in machine translation both for written and spoken language and has had a major impact on the translation accuracy. The goal of this paper is to co... 详细信息
来源: 评论
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
THE RWTH ENGLISH LECTURE recognition SYSTEM
THE RWTH ENGLISH LECTURE RECOGNITION SYSTEM
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Simon Wiesler Kazuki Irie Zoltan Tuske Ralf Schluter Hermann Ney Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen Germany Ecole Centrale Paris Paris France
In this paper, we describe the RWTH speech recognition system for English lectures developed within the Translectures project. A difficulty in the development of an English lectures recognition system, is the high rat... 详细信息
来源: 评论
Acoustic feature combination for robust speech recognition
Acoustic feature combination for robust speech recognition
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International Conference on Acoustics, Speech, and Signal Processing (ICASSP)
作者: A. Zolnay R. Schluter H. Ney Human Language Technology and Pattern Recognition Lehrstuhl für Informatik VI Computer Science Department RWTH Aachen University Aachen Germany
In this paper, we consider the use of multiple acoustic features of the speech signal for robust speech recognition. We investigate the combination of various auditory based (mel frequency cepstrum coefficients, perce... 详细信息
来源: 评论