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检索条件"机构=Human Language Technology and Pattern Recognition Group Computer Science Department"
237 条 记 录,以下是51-60 订阅
Automatic learning of subword dependent model scales
arXiv
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arXiv 2021年
作者: Meyer, Felix Michel, Wilfried Zeineldeen, Mohammad Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
To improve the performance of state-of-the-art automatic speech recognition systems it is common practice to include external knowledge sources such as language models or prior corrections. This is usually done via lo... 详细信息
来源: 评论
Acoustic data-driven subword modeling for end-to-end speech recognition
arXiv
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arXiv 2021年
作者: Zhou, Wei Zeineldeen, Mohammad Zheng, Zuoyun Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
Subword units are commonly used for end-to-end automatic speech recognition (ASR), while a fully acoustic-oriented subword modeling approach is somewhat missing. We propose an acoustic data-driven subword modeling (AD... 详细信息
来源: 评论
Librispeech transducer model with internal language model prior correction
arXiv
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arXiv 2021年
作者: Zeyer, Albert Merboldt, André Michel, Wilfried Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52062 Germany AppTek GmbH Aachen52062 Germany
We present our transducer model on Librispeech. We study variants to include an external language model (LM) with shallow fusion and subtract an estimated internal LM. This is justified by a Bayesian interpretation wh... 详细信息
来源: 评论
EFFICIENT SEQUENCE TRAINING OF ATTENTION MODELS USING APPROXIMATIVE RECOMBINATION
arXiv
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arXiv 2021年
作者: Wynands, Nils-Philipp Michel, Wilfried Rosendahl, Jan Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52062 Germany AppTek GmbH Aachen52062 Germany
Sequence discriminative training is a great tool to improve the performance of an automatic speech recognition system. It does, however, necessitate a sum over all possible word sequences, which is intractable to comp... 详细信息
来源: 评论
On language model integration for RNN transducer based speech recognition
arXiv
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arXiv 2021年
作者: Zhou, Wei Zheng, Zuoyun Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
The mismatch between an external language model (LM) and the implicitly learned internal LM (ILM) of RNN-Transducer (RNN-T) can limit the performance of LM integration such as simple shallow fusion. A Bayesian interpr... 详细信息
来源: 评论
Equivalence of segmental and neural transducer modeling: A proof of concept
arXiv
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arXiv 2021年
作者: Zhou, Wei Zeyer, Albert Merboldt, André Schlüter, Ralf Ney, Hermann Human Language Technology and Pattern Recognition Computer Science Department RWTH Aachen University Aachen52074 Germany AppTek GmbH Aachen52062 Germany
With the advent of direct models in automatic speech recognition (ASR), the formerly prevalent frame-wise acoustic modeling based on hidden Markov models (HMM) diversified into a number of modeling architectures like ... 详细信息
来源: 评论
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
Self-attention transfer networks for speech emotion recognition
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Virtual Reality & Intelligent Hardware 2021年 第1期3卷 43-54页
作者: Ziping ZHAO Keru Wang Zhongtian BAO Zixing ZHANG Nicholas CUMMINS Shihuang SUN Haishuai WANG Jianhua TAO Björn WSCHULLER College of Computer and Information Engineering Tianjin Normal UniversityTianjin 300387China GLAM-Group on Language Audio&MusicImperial College LondonSW72AZUK Chair of Embedded Intelligence for Health Care and Wellbeing University of Augsburg86159Germany Department of Biostatistics and Health Informatics IoPPNKing's College LondonLondonSE58AFUK Department of Computer Science and Engineering Fairfield University 06824USA National Laboratory of Pattern Recognition CASIABeijing 100190China
Background A crucial element of human-machine interaction,the automatic detection of emotional states from human speech has long been regarded as a challenging task for machine learning *** vital challenge in speech e... 详细信息
来源: 评论
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
来源: 评论