ERD

Learning Acoustic Features from the Raw Waveform for Automatic Speech Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Towards a Better Understanding of Label Smoothing in Neural Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Sequence Modeling and Alignment for LVCSR-Systems

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Empirical Investigation of Optimization Algorithms in Neural Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

A comprehensive analysis on attention models

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Improving Neural Language Models with Weight Norm Initialization and Regularization

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Neural Hidden Markov Model for Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Improved Training of End-to-end Attention Models for Speech Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Upper and Lower Tight Error Bounds for Feature Omission with an Extension to Context Reduction

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Prediction of LSTM-RNN Full Context States as a Subtask for N-Gram Feedforward Language Models

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

On The Alignment Problem in Multi-Head Attention-Based Neural Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Deep fisher faces

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Investigation on Estimation of Sentence Probability by Combining Forward, Backward and Bi-directional LSTM-RNNs

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 201...

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Generating Alignments Using Target Foresight in Attention-Based Neural Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

The RWTH Aachen Machine Translation Systems for IWSLT 2017

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Data Filtering using Cross-Lingual Word Embeddings

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Investigation on Data Adaptation Techniques for Neural Named Entity Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Tight Integrated End-to-End Training for Cascaded Speech Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Resources

Selected filters:

Learning Acoustic Features from the Raw Waveform for Automatic Speech Recognition

Towards a Better Understanding of Label Smoothing in Neural Machine Translation

Improving Unsupervised Word-by-Word Translation with Language Model and Denoising Autoencoder

Sequence Modeling and Alignment for LVCSR-Systems

Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information

Empirical Investigation of Optimization Algorithms in Neural Machine Translation

Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition

A comprehensive analysis on attention models

Improving Neural Language Models with Weight Norm Initialization and Regularization

Neural Hidden Markov Model for Machine Translation

Improved Training of End-to-end Attention Models for Speech Recognition

Upper and Lower Tight Error Bounds for Feature Omission with an Extension to Context Reduction

Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation

Prediction of LSTM-RNN Full Context States as a Subtask for N-Gram Feedforward Language Models

On The Alignment Problem in Multi-Head Attention-Based Neural Machine Translation

The RWTH Aachen University Filtering System for the WMT 2018 Parallel Corpus Filtering Task

The RWTH Aachen University Supervised Machine Translation Systems for WMT 2018

Deep fisher faces

Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition

The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017

Investigation on Estimation of Sentence Probability by Combining Forward, Backward and Bi-directional LSTM-RNNs

The RWTH Aachen University English-German and German-English Unsupervised Neural Machine Translation Systems for WMT 201...

RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition

Generating Alignments Using Target Foresight in Attention-Based Neural Machine Translation

The RWTH Aachen Machine Translation Systems for IWSLT 2017

Successfully Applying the Stabilized Lottery Ticket Hypothesis to the Transformer Architecture

Data Filtering using Cross-Lingual Word Embeddings

Investigation on Data Adaptation Techniques for Neural Named Entity Recognition

Biasing Attention-Based Recurrent Neural Networks Using External Alignment Information

Tight Integrated End-to-End Training for Cascaded Speech Translation