Dino Seppi

1.8k total citations · 1 hit paper
26 papers, 1.2k citations indexed

About

Dino Seppi is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology. According to data from OpenAlex, Dino Seppi has authored 26 papers receiving a total of 1.2k indexed citations (citations by other indexed papers that have themselves been cited), including 24 papers in Artificial Intelligence, 13 papers in Signal Processing and 11 papers in Experimental and Cognitive Psychology. Recurrent topics in Dino Seppi's work include Speech Recognition and Synthesis (19 papers), Music and Audio Processing (10 papers) and Speech and Audio Processing (9 papers). Dino Seppi is often cited by papers focused on Speech Recognition and Synthesis (19 papers), Music and Audio Processing (10 papers) and Speech and Audio Processing (9 papers). Dino Seppi collaborates with scholars based in Germany, Belgium and Israel. Dino Seppi's co-authors include Björn W. Schuller, Stefan Steidl, Anton Batliner, Vered Aharonson, Laurence Vidrascu, Laurence Devillers, Noam Amir, Loïc Kessous, Thurid Vogt and Johannes Wagner and has published in prestigious journals such as Speech Communication, Language Resources and Evaluation and Computer Speech & Language.

In The Last Decade

Dino Seppi

26 papers receiving 1.1k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge

2011 496 citations Björn W. Schuller, Anton Batliner et al. Speech Communication profile →

Peers — A (Enhanced Table)

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

Name	h						Papers	Cites
Dino Seppi Germany	13	834	666	647	181	139	26	1.2k
Bogdan Vlasenko Germany	13	675 0.8×	453 0.7×	498 0.8×	153 0.8×	131 0.9×	49	870
Laurence Vidrascu France	9	556 0.7×	426 0.6×	335 0.5×	123 0.7×	130 0.9×	10	763
Florian Groß Germany	5	411 0.5×	490 0.7×	616 1.0×	163 0.9×	131 0.9×	6	1.3k
Walter F. Sendlmeier Germany	9	1.4k 1.7×	883 1.3×	1.2k 1.8×	379 2.1×	166 1.2×	21	1.9k
Thurid Vogt Germany	15	464 0.6×	367 0.6×	307 0.5×	161 0.9×	184 1.3×	29	766
Angeliki Metallinou United States	23	816 1.0×	686 1.0×	478 0.7×	304 1.7×	233 1.7×	35	1.3k
Hugues Salamin United Kingdom	10	386 0.5×	410 0.6×	358 0.6×	151 0.8×	121 0.9×	19	823
Loïc Kessous France	9	451 0.5×	235 0.4×	293 0.5×	222 1.2×	129 0.9×	18	715
Dimitra Vergyri United States	23	243 0.3×	1.3k 1.9×	816 1.3×	194 1.1×	75 0.5×	62	1.7k
Antonio Bonafonte Spain	22	414 0.5×	1.2k 1.8×	879 1.4×	238 1.3×	39 0.3×	113	1.5k

Countries citing papers authored by Dino Seppi

Since Specialization

Citations

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

Fields of papers citing papers by Dino Seppi

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Dino Seppi

This figure shows the co-authorship network connecting the top 25 collaborators of Dino Seppi. A scholar is included among the top collaborators of Dino Seppi 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 Dino Seppi. Dino Seppi 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

Wöllmer, Martin, Björn W. Schuller, Anton Batliner, Stefan Steidl, & Dino Seppi. (2011). Tandem decoding of children's speech for keyword detection in a child-robot interaction scenario. Lirias (KU Leuven). 7(4). 1–22. 11 indexed citations

Weninger, Felix, Björn W. Schuller, Anton Batliner, Stefan Steidl, & Dino Seppi. (2011). Recognition of Nonprototypical Emotions in Reverberated and Noisy Speech by Nonnegative Matrix Factorization. EURASIP Journal on Advances in Signal Processing. 2011(1). 25 indexed citations

Seppi, Dino, Kris Demuynck, & Dirk Van Compernolle. (2011). Template-based automatic speech recognition meets prosody. 545–548. 3 indexed citations

Demuynck, Kris, Dino Seppi, Dirk Van Compernolle, Patrick Nguyen, & Geoffrey Zweig. (2011). Integrating meta-information into exemplar-based speech recognition with segmental conditional random fields. Lirias (KU Leuven). 5048–5051. 12 indexed citations

Schuller, Björn W., Anton Batliner, Stefan Steidl, & Dino Seppi. (2011). Recognising realistic emotions and affect in speech: State of the art and lessons learnt from the first challenge. Speech Communication. 53(9-10). 1062–1087. 496 indexed citations breakdown →

Demuynck, Kris, Dino Seppi, Hugo Van hamme, & Dirk Van Compernolle. (2011). Progress in example based automatic speech recognition. Lirias (KU Leuven). i. 4692–4695. 6 indexed citations

Eyben, Florian, Anton Batliner, Björn W. Schuller, Dino Seppi, & Stefan Steidl. (2010). Cross-Corpus Classification of Realistic Emotions - Some Pilot Experiments. Language Resources and Evaluation. 77–82. 38 indexed citations

Seppi, Dino, Anton Batliner, Stefan Steidl, Björn W. Schuller, & Elmar Nöth. (2010). Word accent and emotion. paper 053–0. 6 indexed citations

Batliner, Anton, Dino Seppi, Stefan Steidl, & Björn W. Schuller. (2010). Segmenting into Adequate Units for Automatic Recognition of Emotion-Related Episodes: A Speech-Based Approach. Advances in Human-Computer Interaction. 2010. 1–15. 50 indexed citations

10.

Seppi, Dino & Dirk Van Compernolle. (2010). Data pruning for template-based automatic speech recognition. 901–904. 8 indexed citations

11.

Steidl, Stefan, Anton Batliner, Dino Seppi, & Björn W. Schuller. (2010). On the Impact of Children's Emotional Speech on Acoustic and Language Models. EURASIP Journal on Audio Speech and Music Processing. 2010. 1–14. 16 indexed citations

12.

Batliner, Anton, Stefan Steidl, Björn W. Schuller, et al.. (2010). Whodunnit – Searching for the most important feature types signalling emotion-related user states in speech. Computer Speech & Language. 25(1). 4–28. 101 indexed citations

13.

Schuller, Björn W., Anton Batliner, Stefan Steidl, & Dino Seppi. (2009). Emotion recognition from speech: Putting ASR in the loop. OPUS (Augsburg University). 4585–4588. 36 indexed citations

14.

Schuller, Björn W., Anton Batliner, Stefan Steidl, & Dino Seppi. (2008). Does Affect Affect Automatic Recognition of Children's Speech?. OPUS (Augsburg University). 14. 7 indexed citations

15.

Seppi, Dino, Anton Batliner, Björn W. Schuller, et al.. (2008). Patterns, prototypes, performance: classifying emotional user states. 601–604. 28 indexed citations

16.

Seppi, Dino, Matteo Gerosa, Björn W. Schuller, Anton Batliner, & Stefan Steidl. (2008). Detecting Problems in Spoken Child-Computer Interaction. OPUS (Augsburg University). 15. 5 indexed citations

17.

Falavigna, Daniele, Nicola Bertoldi, Fabio Brugnara, et al.. (2007). The IRST English-Spanish translation system for european parliament speeches. 2833–2836. 2 indexed citations

18.

Schuller, Björn W., Anton Batliner, Dino Seppi, et al.. (2007). The relevance of feature type for the automatic classification of emotional user states: low level descriptors and functionals. 2253–2256. 140 indexed citations

19.

Batliner, Anton, Stefan Steidl, Björn W. Schuller, et al.. (2007). THE IMPACT OF F0 EXTRACTION ERRORS ON THE CLASSIFICATION OF PROMINENCE AND EMOTION. OPUS (Augsburg University). 8 indexed citations

20.

Gretter, Roberto & Dino Seppi. (2005). Using prosodic information for disambiguation purposes. 1821–1824. 2 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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