Ulpu Remes

34 papers receiving 303 citations

Peers

Ulpu Remes
Comparison fields: 5 of 74
  • Signal Processing 234
  • Theoretical Computer Science 11
  • Artificial Intelligence 170
  • History and Philosophy of Science 15
  • Experimental and Cognitive Psychology 33
Replace Irina Illina with:
Irina Illina France
Slobodan T. Jovičić Serbia
Wooil Kim United States
Børge Lindberg Denmark
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Shuichi Itahashi Japan
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Stelios Bakamidis Greece
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Countries citing papers authored by Ulpu Remes

Since Specialization
Citations

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

Fields of papers citing papers by Ulpu Remes

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 21 scholars most cited alongside Ulpu Remes, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Ulpu Remes Line = papers co-authored together Ulpu Remes links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 35 papers — load more, or switch the sort, to bring in the rest.

#Work
1
The 12th Annual Conference of the International Speech Communication Association, INTERSPEECH 2011
201157
2
The method of analysis
197444
3 201125
4 201022
5 201217
6
The 38th international Conference on Acoustics, Speech, and Signal Processing, ICASSP 2013
201315
7 201214
8 201413
9 201712
10 201611
11 201410
12 201410
13
Objective evaluation measures for speaker-adaptive HMM-TTS systems
20139
14 20159
15 20108
16 20156
17 20136
18
Mask Estimation and Sparse Imputation for Missing Data Speech Recognition in Multisource Reverberant Environments
20116
19 20085
20 20115

About Ulpu Remes

Ulpu Remes is a scholar working on Signal Processing, Artificial Intelligence, Computational Mechanics, Computer Vision and Pattern Recognition and Biomedical Engineering, having authored 35 papers that have together received 343 indexed citations. Recurring topics across this work include Speech and Audio Processing (27 papers), Speech Recognition and Synthesis (15 papers), Music and Audio Processing (11 papers), Advanced Adaptive Filtering Techniques (6 papers), Advanced Data Compression Techniques (4 papers), Acoustic Wave Phenomena Research (4 papers), Blind Source Separation Techniques (4 papers) and Hearing Loss and Rehabilitation (3 papers). The work is most often cited by research in Signal Processing (234 citations), Theoretical Computer Science (11 citations), Artificial Intelligence (170 citations), History and Philosophy of Science (15 citations) and Experimental and Cognitive Psychology (33 citations). Ulpu Remes has collaborated with scholars based in Finland, Netherlands and United Kingdom. Frequent co-authors include Kalle Palomäki, Mikko Kurimo, Jort F. Gemmeke, Jaakko Hintikka, Paavo Alku, Reima Karhila, Tuomas Virtanen, Hannu Pulakka, Bert Cranen and Guy J. Brown. Their work appears in journals such as Computer Speech & Language, IEEE/ACM Transactions on Audio Speech and Language Processing, IEEE Journal of Selected Topics in Signal Processing, IEEE Signal Processing Letters and IEEE Transactions on Audio Speech and Language Processing.

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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