Albert Zeyer

Orcid: 0000-0002-6655-671X

According to our database1, Albert Zeyer authored at least 37 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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In proceedings 
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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
The Conformer Encoder May Reverse the Time Dimension.
CoRR, 2024

Chunked Attention-Based Encoder-Decoder Model for Streaming Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2024

2022
Neural network based modeling and architectures for automatic speech recognition and machine translation.
PhD thesis, 2022

Monotonic Segmental Attention for Automatic Speech Recognition.
Proceedings of the IEEE Spoken Language Technology Workshop, 2022

Discrete Steps towards Approximate Computing.
Proceedings of the 23rd International Symposium on Quality Electronic Design, 2022

2021
Why does CTC result in peaky behavior?
CoRR, 2021

A study of latent monotonic attention variants.
CoRR, 2021

Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Librispeech Transducer Model with Internal Language Model Prior Correction.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

Investigating Methods to Improve Language Model Integration for Attention-Based Encoder-Decoder ASR Models.
Proceedings of the 22nd Annual Conference of the International Speech Communication Association, Interspeech 2021, Brno, Czechia, August 30, 2021

2020
Investigations on Phoneme-Based End-To-End Speech Recognition.
CoRR, 2020

A New Training Pipeline for an Improved Neural Transducer.
Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASR.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Exploring A Zero-Order Direct Hmm Based on Latent Attention for Automatic Speech Recognition.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

2019
Training of reduced-rank linear transformations for multi-layer polynomial acoustic features for speech recognition.
Speech Commun., 2019

RWTH ASR Systems for LibriSpeech: Hybrid vs Attention - w/o Data Augmentation.
CoRR, 2019

On Using SpecAugment for End-to-End Speech Translation.
Proceedings of the 16th International Conference on Spoken Language Translation, 2019

An Analysis of Local Monotonic Attention Variants.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

RWTH ASR Systems for LibriSpeech: Hybrid vs Attention.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

Language Modeling with Deep Transformers.
Proceedings of the 20th Annual Conference of the International Speech Communication Association, 2019

On Using 2D Sequence-to-sequence Models for Speech Recognition.
Proceedings of the IEEE International Conference on Acoustics, 2019

A Comparison of Transformer and LSTM Encoder Decoder Models for ASR.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

Training Language Models for Long-Span Cross-Sentence Evaluation.
Proceedings of the IEEE Automatic Speech Recognition and Understanding Workshop, 2019

2018
Neural Speech Translation at AppTek.
Proceedings of the 15th International Conference on Spoken Language Translation, 2018

Improved Training of End-to-end Attention Models for Speech Recognition.
Proceedings of the 19th Annual Conference of the International Speech Communication Association, 2018

RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition.
Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018

Sequence Modeling and Alignment for LVCSR-Systems.
Proceedings of the 13th ITG Symposium on Speech Communication, 2018

2017
CTC in the Context of Generalized Full-Sum HMM Training.
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017

Faster sequence training.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

A comprehensive study of deep bidirectional LSTM RNNS for acoustic modeling in speech recognition.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Returnn: The RWTH extensible training framework for universal recurrent neural networks.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2016
Automatic Speech Recognition Based on Neural Networks.
Proceedings of the Speech and Computer - 18th International Conference, 2016

Towards Online-Recognition with Deep Bidirectional LSTM Acoustic Models.
Proceedings of the 17th Annual Conference of the International Speech Communication Association, 2016

Bidirectional Decoder Networks for Attention-Based End-to-End Offline Handwriting Recognition.
Proceedings of the 15th International Conference on Frontiers in Handwriting Recognition, 2016

Robust Online Multi-Channel Speech Recognition.
Proceedings of the 12th ITG Symposium on Speech Communication, 2016


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