ERD

Predicting and Using Target Length in Neural Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Cumulative Adaptation for BLSTM Acoustic Models

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

Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Generalizing Back-Translation in Neural Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Analysis of Positional Encodings for Neural Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASR

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Gr...

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Diving Deep into Context-Aware Neural Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Neural Language Modeling for Named Entity Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Robust Beam Search for Encoder-Decoder Attention Based Speech Recognition Without Length Bias

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Comparison of BLSTM-Layer-Specific Affine Transformations for Speaker Adaptation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

The RWTH/UPB system combination for the CHiME 2018 Workshop

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

On Using 2D Sequence-to-sequence Models for Speech Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Parallel Neural Network Features for Improved Tandem Acoustic Modeling

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Transformer-Based Direct Hidden Markov Model for Machine Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

A study of latent monotonic attention variants

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Towards Consistent Hybrid HMM Acoustic Modeling

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

A Comparative Study on End-to-End Speech to Text Translation

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Acoustic Modeling of Speech Waveform Based on Multi-Resolution, Neural Network Signal Processing

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Inverted Alignments for End-to-End Automatic Speech Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

CTC in the Context of Generalized Full-Sum HMM Training

Project: SEQCLAS

Updated at: 27-04-2024

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Project acronym SEQCLAS

Resources

Selected filters:

Predicting and Using Target Length in Neural Machine Translation

Cumulative Adaptation for BLSTM Acoustic Models

A comprehensive analysis on attention models

Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR

Generalizing Back-Translation in Neural Machine Translation

Analysis of Positional Encodings for Neural Machine Translation

A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASR

Two-Way Neural Machine Translation: A Proof of Concept for Bidirectional Translation Modeling using a Two-Dimensional Gr...

Diving Deep into Context-Aware Neural Machine Translation

Neural Language Modeling for Named Entity Recognition

Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech Recognition

Exploring Kernel Functions in the Softmax Layer for Contextual Word Classification

Multi-Agent Mutual Learning at Sentence-Level and Token-Level for Neural Machine Translation

Robust Beam Search for Encoder-Decoder Attention Based Speech Recognition Without Length Bias

Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept

Comparison of BLSTM-Layer-Specific Affine Transformations for Speaker Adaptation

The RWTH/UPB system combination for the CHiME 2018 Workshop

Investigation into Joint Optimization of Single Channel Speech Enhancement and Acoustic Modeling for Robust ASR

On Using 2D Sequence-to-sequence Models for Speech Recognition

Towards Two-Dimensional Sequence to Sequence Model in Neural Machine Translation

Parallel Neural Network Features for Improved Tandem Acoustic Modeling

Transformer-Based Direct Hidden Markov Model for Machine Translation

A study of latent monotonic attention variants

Towards Consistent Hybrid HMM Acoustic Modeling

A Comparative Study on End-to-End Speech to Text Translation

Acoustic Modeling of Speech Waveform Based on Multi-Resolution, Neural Network Signal Processing

Inverted Alignments for End-to-End Automatic Speech Recognition

Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition

Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition

CTC in the Context of Generalized Full-Sum HMM Training