Reima Karhila

29 papers receiving 522 citations

Peers

Reima Karhila
Comparison fields: 5 of 96
  • Artificial Intelligence 380
  • Signal Processing 213
  • Experimental and Cognitive Psychology 112
  • Cognitive Neuroscience 52
  • Computer Vision and Pattern Recognition 45
Replace Olivier Deroo with:
Olivier Deroo Belgium
Mireia Farrús Spain
Bela Usabaev Germany
Jangwon Kim United States
Denis Jouvet France
Pirros Tsiakoulis Greece
Anna Polychroniou United States
Carmén García Mateo Spain
Catherine Lai United Kingdom
Harry Bratt United States
Reima Karhila relative to Olivier Deroo Belgium Olivier Deroo's profile →
Citations per field
00.5×1.5×1.9×
Olivier Deroo · 1×
Citations per year

Countries citing papers authored by Reima Karhila

Since Specialization
Citations

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

Fields of papers citing papers by Reima Karhila

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Reima Karhila

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

All Works

20 of 20 papers shown
#WorkIndexed citations
1 2
2 7
3 6
4 1
5 9
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SIAK – A Game for Foreign Language Pronunciation Learning
5
7 1
8 3
9 10
10 1
11
Objective evaluation measures for speaker-adaptive HMM-TTS systems
9
12 4
13 9
14
Personalising Speech-To-Speech Translation in the EMIME Project
15
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Speaker adaptation and the evaluation of speaker similarity in the EMIME speech-to-speech translation project
19
16 17
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Proceedings of the ACL 2010 System Demonstrations
91
18 49
19 1
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The 10th Annual Conference of the International Speech Communication Association, INTERSPEECH 2009
21

About Reima Karhila

Reima Karhila is a scholar working on Signal Processing, Artificial Intelligence and Experimental and Cognitive Psychology, having authored 30 papers that have together received 570 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (19 papers), Speech and dialogue systems (11 papers) and Speech and Audio Processing (10 papers). The work is most often cited by research in Signal Processing (213 citations), Artificial Intelligence (380 citations) and Experimental and Cognitive Psychology (112 citations). Reima Karhila has collaborated with scholars based in Finland, United Kingdom and Japan. Frequent co-authors include Mikko Kurimo, Junichi Yamagishi, Simon King, Keiichi Tokuda, Oliver Watts, Bela Usabaev, Raymond Hu, Jing Tian, Yi Guan and Keiichiro Oura. Their work appears in journals such as Frontiers in Human Neuroscience, Brain and Language and IEEE Journal of Selected Topics in Signal 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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