Antti Hurmalainen
- Signal Processing top 2%
- Artificial Intelligence top 5%
- Computational Mechanics top 10%
- Computer Vision and Pattern Recognition
- Cognitive Neuroscience
- Co-authors
- Tuomas VirtanenJort F. GemmekeRahim SaeidiJürgen T. GeigerBjörn W. SchullerFelix WeningerGerhard RigollMartin Wöllmer
- Topics
- Speech and Audio Processing (22 papers)Blind Source Separation Techniques (18 papers)Speech Recognition and Synthesis (16 papers)
- Journals
- IEEE Transactions on Audio Speech and Language ProcessingComputer Speech & LanguageIEEE/ACM Transactions on Audio Speech and Language Processing
- Partner nations
- FinlandNetherlandsBelgium
In The Last Decade
Antti Hurmalainen
23 papers receiving 397 citations
Peers
Comparison fields: 5 of 32
- Signal Processing 428
- Artificial Intelligence 274
- Computational Mechanics 84
- Computer Vision and Pattern Recognition 53
- Cognitive Neuroscience 18
Countries citing papers authored by Antti Hurmalainen
This map shows the geographic impact of Antti Hurmalainen'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 Antti Hurmalainen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Antti Hurmalainen more than expected).
Fields of papers citing papers by Antti Hurmalainen
This network shows the impact of papers produced by Antti Hurmalainen. 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 Antti Hurmalainen. The network helps show where Antti Hurmalainen may publish in the future.
Co-authorship network of co-authors of Antti Hurmalainen
This figure shows the co-authorship network connecting the top 25 collaborators of Antti Hurmalainen. A scholar is included among the top collaborators of Antti Hurmalainen 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 Antti Hurmalainen. Antti Hurmalainen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | 9 | |
| 3 | 4 | |
| 4 | The TUM+TUT+KUL Approach to the 2nd CHiME Challenge: Multi-Stream ASR Exploiting BLSTM Networks and Sparse NMF | 10 |
| 5 | The TUM+TUT+KUL approach to the CHiME challenge 2013: Multi-stream ASR exploiting BLSTM networks and sparse NMF | 10 |
| 6 | HMM-regularization for NMF-based noise robust ASR | 6 |
| 7 | 3 | |
| 8 | 3 | |
| 9 | Compact long context spectral factorisation models for noise robust recognition of medium vocabulary speech | 5 |
| 10 | Detection, separation and recognition of speech from continuous signals using spectral factorisation | 4 |
| 11 | 29 | |
| 12 | 8 | |
| 13 | 23 | |
| 14 | 244 | |
| 15 | 23 | |
| 16 | 17 | |
| 17 | Exemplar-based Recognition of Speech in Highly Variable Noise | 14 |
| 18 | Exemplar-based speech enhancement and its application to noise-robust automatic speech recognition | 16 |
| 19 | 6 | |
| 20 | 6 |
About Antti Hurmalainen
Antti Hurmalainen is a scholar working on Signal Processing, Artificial Intelligence and Computational Mechanics, having authored 23 papers that have together received 471 indexed citations. Recurring topics across this work include Speech and Audio Processing (22 papers), Blind Source Separation Techniques (18 papers) and Speech Recognition and Synthesis (16 papers). The work is most often cited by research in Signal Processing (428 citations), Artificial Intelligence (274 citations) and Computational Mathematics (3 citations). Antti Hurmalainen has collaborated with scholars based in Finland, Netherlands and Belgium. Frequent co-authors include Tuomas Virtanen, Jort F. Gemmeke, Rahim Saeidi, Jürgen T. Geiger, Björn W. Schuller, Felix Weninger, Gerhard Rigoll, Martin Wöllmer, Yang Sun and David A. van Leeuwen. Their work appears in journals such as IEEE Transactions on Audio Speech and Language Processing, Computer Speech & Language and IEEE/ACM 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.