Volker Leutnant

845 total citations
16 papers, 518 citations indexed

About

Volker Leutnant is a scholar working on Artificial Intelligence, Signal Processing and Computational Mechanics. According to data from OpenAlex, Volker Leutnant has authored 16 papers receiving a total of 518 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 14 papers in Signal Processing and 3 papers in Computational Mechanics. Recurrent topics in Volker Leutnant's work include Speech and Audio Processing (14 papers), Speech Recognition and Synthesis (14 papers) and Music and Audio Processing (5 papers). Volker Leutnant is often cited by papers focused on Speech and Audio Processing (14 papers), Speech Recognition and Synthesis (14 papers) and Music and Audio Processing (5 papers). Volker Leutnant collaborates with scholars based in Germany, United States and Israel. Volker Leutnant's co-authors include Reinhold Haeb‐Umbach, Roland Maas, Emanuël A. P. Habets, Bhiksha Raj, Marc Delcroix, Tomohiro Nakatani, Keisuke Kinoshita, Walter Kellermann, Armin Sehr and Sharon Gannot and has published in prestigious journals such as IEEE Transactions on Audio Speech and Language Processing, IEEE/ACM Transactions on Audio Speech and Language Processing and EURASIP Journal on Advances in Signal Processing.

In The Last Decade

Volker Leutnant

13 papers receiving 471 citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name	h						Papers	Cites
Volker Leutnant Germany	6	490	308	163	85	35	16	518
Lianwu Chen China	15	511 1.0×	312 1.0×	178 1.1×	72 0.8×	22 0.6×	31	554
Guoning Hu United States	10	537 1.1×	208 0.7×	178 1.1×	164 1.9×	43 1.2×	19	570
Zhaozhang Jin United States	8	383 0.8×	201 0.7×	106 0.7×	83 1.0×	23 0.7×	10	401
Mengtao Xing China	2	430 0.9×	292 0.9×	173 1.1×	70 0.8×	16 0.5×	2	467
Benjamin J. Shannon Australia	5	343 0.7×	169 0.5×	185 1.1×	77 0.9×	14 0.4×	8	365
Armin Sehr Germany	8	742 1.5×	450 1.5×	261 1.6×	132 1.6×	57 1.6×	24	781
Buye Xu United States	10	346 0.7×	183 0.6×	148 0.9×	108 1.3×	53 1.5×	49	414
Yihui Fu China	7	565 1.2×	420 1.4×	207 1.3×	78 0.9×	22 0.6×	12	626
Ivo Merks United States	7	291 0.6×	137 0.4×	129 0.8×	78 0.9×	30 0.9×	14	304
Shubo Lv China	5	552 1.1×	386 1.3×	221 1.4×	85 1.0×	19 0.5×	9	597

Countries citing papers authored by Volker Leutnant

Since Specialization

Citations

This map shows the geographic impact of Volker Leutnant'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 Volker Leutnant with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Volker Leutnant more than expected).

Fields of papers citing papers by Volker Leutnant

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Volker Leutnant. 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 Volker Leutnant. The network helps show where Volker Leutnant may publish in the future.

Co-authorship network of co-authors of Volker Leutnant

This figure shows the co-authorship network connecting the top 25 collaborators of Volker Leutnant. A scholar is included among the top collaborators of Volker Leutnant 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 Volker Leutnant. Volker Leutnant is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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16 of 16 papers shown

Rana, Aman, Lukas Drude, Alejandro Gomez-Alanis, et al.. (2024). Promptformer: Prompted Conformer Transducer for ASR. 11821–11825.

Gandhe, Ankur, et al.. (2022). Lattention: Lattice-Attention in ASR Rescoring. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 7877–7881.

Leutnant, Volker, et al.. (2019). Acoustic Model Bootstrapping Using Semi-Supervised Learning. 3198–3202. 1 indexed citations

Kinoshita, Keisuke, Marc Delcroix, Sharon Gannot, et al.. (2016). A summary of the REVERB challenge: state-of-the-art and remaining challenges in reverberant speech processing research. EURASIP Journal on Advances in Signal Processing. 2016(1). 228 indexed citations

Leutnant, Volker, Alexander Krueger, & Reinhold Haeb‐Umbach. (2013). Bayesian Feature Enhancement for Reverberation and Noise Robust Speech Recognition. IEEE Transactions on Audio Speech and Language Processing. 21(8). 1640–1652. 6 indexed citations

Leutnant, Volker, Alexander Krueger, & Reinhold Haeb‐Umbach. (2013). A New Observation Model in the Logarithmic Mel Power Spectral Domain for the Automatic Recognition of Noisy Reverberant Speech. IEEE/ACM Transactions on Audio Speech and Language Processing. 22(1). 95–109. 5 indexed citations

Kinoshita, Keisuke, Marc Delcroix, Takuya Yoshioka, et al.. (2013). The reverb challenge: A common evaluation framework for dereverberation and recognition of reverberant speech. 1–4. 243 indexed citations

Abdelaziz, Ahmed Hussen, Steffen Zeiler, Dorothea Kolossa, Volker Leutnant, & Reinhold Haeb‐Umbach. (2013). GMM-based significance decoding. 13. 6827–6831. 4 indexed citations

Krueger, Alexander, et al.. (2012). Bayesian feature enhancement for ASR of noisy reverberant real-world data. 807–810. 4 indexed citations

10.

Leutnant, Volker, Alexander Krueger, & Reinhold Haeb‐Umbach. (2012). A statistical observation model for noisy reverberant speech features and its application to robust ASR. 142–147. 2 indexed citations

11.

Leutnant, Volker, Alexander Krueger, & Reinhold Haeb‐Umbach. (2012). Investigations Into a Statistical Observation Model for Logarithmic Mel Power Spectral Density Features of Noisy Reverberant Speech. 1–4. 2 indexed citations

12.

Leutnant, Volker, Alexander Krueger, & Reinhold Haeb‐Umbach. (2012). Derivation of the Power Compensation Constant in the Observation Model for Reverberant Speech in the Logarithmic Mel Power Spectral Domain. 1 indexed citations

13.

Leutnant, Volker, Alexander Krueger, & Reinhold Haeb‐Umbach. (2011). A versatile Gaussian splitting approach to non-linear state estimation and its application to noise-robust ASR. 1641–1644. 3 indexed citations

14.

Leutnant, Volker & Reinhold Haeb‐Umbach. (2010). Options for Modelling Temporal Statistical Dependencies in an Acoustic Model for ASR.

15.

Schmalenstroeer, Joerg, et al.. (2009). Fusing audio and video information for online speaker diarization. 1163–1166. 8 indexed citations

16.

Leutnant, Volker & Reinhold Haeb‐Umbach. (2009). An analytic derivation of a phase-sensitive observation model for noise robust speech recognition. 2395–2398. 11 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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