Albert Zeyer

1.3k total citations
21 papers, 323 citations indexed

About

Albert Zeyer is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Albert Zeyer has authored 21 papers receiving a total of 323 indexed citations (citations by other indexed papers that have themselves been cited), including 19 papers in Artificial Intelligence, 10 papers in Signal Processing and 3 papers in Computer Vision and Pattern Recognition. Recurrent topics in Albert Zeyer's work include Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (9 papers) and Natural Language Processing Techniques (9 papers). Albert Zeyer is often cited by papers focused on Speech Recognition and Synthesis (14 papers), Speech and Audio Processing (9 papers) and Natural Language Processing Techniques (9 papers). Albert Zeyer collaborates with scholars based in Germany, Switzerland and Netherlands. Albert Zeyer's co-authors include Hermann Ney, Ralf Schlüter, Kazuki Irie, Patrick Doetsch, Lukas Drude, Reinhold Haeb‐Umbach, Pavel Golik, Anastasios Alexandridis, Ilia Kulikov and Athanasios Mouchtaris and has published in prestigious journals such as Scientific Reports, Speech Communication and Computer Speech & Language.

In The Last Decade

Albert Zeyer

20 papers receiving 296 citations

Peers

Albert Zeyer

AI

SP

CVPR

EEE

IS

Kazuki Irie Germany

Fenglong Xie China

Xu Tan China

Luke M. Davis United Kingdom

Atsuhiko Kai Japan

Lars Maaløe Denmark

Simon Wiesler Germany

Nelly Elsayed United States

Navid Mohammadi Foumani Australia

Tamer Alkhouli Germany

Kazuki Irie Germany

Albert Zeyer

311 ×1.2

AI

144 ×0.8

SP

42 ×1.7

CVPR

22 ×1.1

EEE

23 ×1.9

IS

Citations per year, relative to Albert Zeyer Albert Zeyer (= 1×) peers Kazuki Irie

Countries citing papers authored by Albert Zeyer

Since Specialization

Citations

This map shows the geographic impact of Albert Zeyer's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Albert Zeyer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Albert Zeyer more than expected).

Fields of papers citing papers by Albert Zeyer

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Albert Zeyer. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Albert Zeyer. The network helps show where Albert Zeyer may publish in the future.

Co-authorship network of co-authors of Albert Zeyer

This figure shows the co-authorship network connecting the top 25 collaborators of Albert Zeyer. A scholar is included among the top collaborators of Albert Zeyer based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Albert Zeyer. Albert Zeyer is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

1.

Peter, Karin Anne, Stefan Kunz, Albert Zeyer, et al.. (2024). Reducing work-related stress among health professionals by using a training-based intervention programme for leaders in a cluster randomised controlled trial. Scientific Reports. 14(1). 23502–23502.

2.

Zeyer, Albert, et al.. (2024). Chunked Attention-Based Encoder-Decoder Model for Streaming Speech Recognition. 11331–11335. 1 indexed citations

3.

Zeyer, Albert, et al.. (2023). Monotonic Segmental Attention for Automatic Speech Recognition. 229–236. 4 indexed citations

4.

Gemmeke, Tobias, et al.. (2022). Discrete Steps towards Approximate Computing. 1–6. 4 indexed citations

5.

Zhou, Wei, et al.. (2021). Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept. 2891–2895. 3 indexed citations

6.

Zeyer, Albert, et al.. (2020). Layer-Normalized LSTM for Hybrid-Hmm and End-To-End ASR. 5 indexed citations

7.

Zeyer, Albert, et al.. (2020). A Comprehensive Study of Residual CNNS for Acoustic Modeling in ASR. abs 1703 2136. 7674–7678. 1 indexed citations

8.

Zeyer, Albert, et al.. (2020). A New Training Pipeline for an Improved Neural Transducer. arXiv (Cornell University). 2812–2816. 25 indexed citations

9.

Zeyer, Albert, et al.. (2019). An Analysis of Local Monotonic Attention Variants. 1398–1402. 11 indexed citations

10.

Zeyer, Albert, et al.. (2019). Training of reduced-rank linear transformations for multi-layer polynomial acoustic features for speech recognition. Speech Communication. 110. 56–63. 10 indexed citations

11.

Zeyer, Albert, et al.. (2019). On Using 2D Sequence-to-sequence Models for Speech Recognition. 15. 5671–5675. 4 indexed citations

12.

Zeyer, Albert, et al.. (2019). A comprehensive analysis on attention models. RWTH Publications (RWTH Aachen). 9 indexed citations

13.

Irie, Kazuki, Albert Zeyer, Ralf Schlüter, & Hermann Ney. (2019). Training Language Models for Long-Span Cross-Sentence Evaluation. 419–426. 21 indexed citations

14.

Zeyer, Albert, et al.. (2019). A Comparison of Transformer and LSTM Encoder Decoder Models for ASR. 8–15. 130 indexed citations

15.

Zeyer, Albert, et al.. (2018). Sequence Modeling and Alignment for LVCSR-Systems. RWTH Publications (RWTH Aachen). 1–5. 5 indexed citations

16.

Zeyer, Albert, et al.. (2017). CTC in the Context of Generalized Full-Sum HMM Training. 26 indexed citations

17.

Zeyer, Albert, et al.. (2016). Robust Online Multi-Channel Speech Recognition.. 1–5. 2 indexed citations

18.

Doetsch, Patrick, Albert Zeyer, & Hermann Ney. (2016). Bidirectional Decoder Networks for Attention-Based End-to-End Offline Handwriting Recognition. 361–366. 10 indexed citations

19.

Menne, Tobias, Jahn Heymann, Anastasios Alexandridis, et al.. (2016). The RWTH/UPB/FORTH System Combination for the 4th CHiME Challenge Evaluation. Computer Speech & Language. 21 indexed citations

20.

Zeyer, Albert, Ralf Schlüter, & Hermann Ney. (2016). Towards Online-Recognition with Deep Bidirectional LSTM Acoustic Models. 3424–3428. 27 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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