Jani Nurminen
- Signal Processing top 1%
- Speech and Audio Processing 25
- Music and Audio Processing 10
- Artificial Intelligence top 2%
- Speech Recognition and Synthesis 31
- Speech and dialogue systems 6
- Algorithms and Data Compression 3
-
- Phonetics and Phonology Research 5
-
- Advanced Data Compression Techniques 11
- Image and Signal Denoising Methods 2
- Co-authors
- Elina HelanderMoncef GabboujTuomas VirtanenHanna SilénMartti VainioTuomo RaitioAntti SuniPaavo Alku
- Journals
- IEEE Transactions on Audio Speech and Language Processing (3 papers)ERA (1 paper)Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing (1 paper)
- Partner nations
- FinlandNetherlandsChina
In The Last Decade
Jani Nurminen
37 papers receiving 463 citations
Peers
Comparison fields: 5 of 36
- Signal Processing 462
- Artificial Intelligence 496
- Experimental and Cognitive Psychology 95
- Physiology 65
- Computer Vision and Pattern Recognition 43
Countries citing papers authored by Jani Nurminen
This map shows the geographic impact of Jani Nurminen'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 Jani Nurminen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jani Nurminen more than expected).
Fields of papers citing papers by Jani Nurminen
This network shows the impact of papers produced by Jani Nurminen. 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 Jani Nurminen. The network helps show where Jani Nurminen may publish in the future.
Co-authorship network
The 20 scholars most cited alongside Jani Nurminen, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2014 | 16 | |
| 2 | 2013 | 9 | |
| 3 | 2012 | 16 | |
| 4 | A Unified and Automatic Approach Of Mandarin HTS System | 2010 | 2 |
| 5 | 2010 | 1 | |
| 6 | 2010 | 148 | |
| 7 | 2010 | 14 | |
| 8 | 2008 | 27 | |
| 9 | 2008 | 1 | |
| 10 | 2007 | 3 | |
| 11 | 2007 | 1 | |
| 12 | 2007 | 2 | |
| 13 | 2006 | 1 | |
| 14 | 2006 | 0 | |
| 15 | A Parametric Approach for Voice Conversion | 2006 | 12 |
| 16 | 2005 | 1 | |
| 17 | 2004 | 2 | |
| 18 | 2002 | 1 | |
| 19 | 2001 | 2 | |
| 20 | An innovative object-oriented approach to process design | 2000 | 3 |
About Jani Nurminen
Jani Nurminen is a scholar working on Signal Processing, Artificial Intelligence and Computer Vision and Pattern Recognition, having authored 38 papers that have together received 533 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (31 papers), Speech and Audio Processing (25 papers), Advanced Data Compression Techniques (11 papers), Music and Audio Processing (10 papers), Speech and dialogue systems (6 papers), Phonetics and Phonology Research (5 papers), Algorithms and Data Compression (3 papers) and Image and Signal Denoising Methods (2 papers). The work is most often cited by research in Signal Processing (462 citations), Artificial Intelligence (496 citations) and Experimental and Cognitive Psychology (95 citations). Jani Nurminen has collaborated with scholars based in Finland, Netherlands and China. Frequent co-authors include Elina Helander, Moncef Gabbouj, Tuomas Virtanen, Hanna Silén, Martti Vainio, Tuomo Raitio, Antti Suni, Paavo Alku, Jun‐ichi Yamagishi and Hannu Pulakka. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, ERA and Proceedings of the ... IEEE International Conference on Acoustics, Speech, and 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.