Aku Rouhe

672 citations
15 papers · 67 · h-index 4

Impact in

    • Natural Language Processing Techniques
    • Speech Recognition and Synthesis
    • Topic Modeling
    • Speech and dialogue systems
    • Speech and Audio Processing
    • Music and Audio Processing

Papers in

    • Speech Recognition and Synthesis 8
    • Natural Language Processing Techniques 7
    • Topic Modeling 6
    • Speech and dialogue systems 3
    • Text Readability and Simplification 2
    • Music and Audio Processing 4
    • Speech and Audio Processing 4

Aku Rouhe

12 papers receiving 64 citations

Peers

Aku Rouhe
Comparison fields: 5 of 23
  • Artificial Intelligence 55
  • Signal Processing 18
  • Computer Vision and Pattern Recognition 17
  • Business and International Management 1
  • Language and Linguistics 4
Replace Daan van Esch with:
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Edresson Casanova Brazil
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Aku Rouhe relative to Daan van Esch United States Daan van Esch's profile →
Citations per field
00.5×2.8×
Daan van Esch · 1×
Citations per year

Countries citing papers authored by Aku Rouhe

Since Specialization
Citations

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

Fields of papers citing papers by Aku Rouhe

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authors

The 16 scholars most cited alongside Aku Rouhe, 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 Aku Rouhe Line = papers co-authored together Aku Rouhe links everyone, so they are left out of the graph.

All Works

15 of 15 papers shown
#Work
1 202034
2 202110
3 20235
4 20224
5 20232
6
Speaker Verification Experiments for Adults and Children Using Shared Embedding Spaces
20212
7 20222
8 20202
9 20192
10 20171
11 20201
12 20191
13 20181
14 20230
15 20230

About Aku Rouhe

Aku Rouhe is a scholar working on Artificial Intelligence, Signal Processing, Computer Vision and Pattern Recognition, Radiation and Experimental and Cognitive Psychology, having authored 15 papers that have together received 67 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (8 papers), Natural Language Processing Techniques (7 papers), Topic Modeling (6 papers), Music and Audio Processing (4 papers), Speech and Audio Processing (4 papers), Speech and dialogue systems (3 papers), Multimodal Machine Learning Applications (2 papers) and Text Readability and Simplification (2 papers). The work is most often cited by research in Artificial Intelligence (55 citations), Signal Processing (18 citations), Computer Vision and Pattern Recognition (17 citations), Business and International Management (1 citation) and Language and Linguistics (4 citations). Aku Rouhe has collaborated with scholars based in Finland, United States and Denmark. Frequent co-authors include Mikko Kurimo, Stig-Arne Grönroos, Ozan Çağlayan, Desmond Elliott, Umut Sulubacak, Lucia Specia, Jörg Tiedemann, Juho Leinonen, Tamás Grósz and Hemant Kumar Kathania. Their work appears in journals such as Language Resources and Evaluation, Machine Translation, IEEE/ACM Transactions on Audio Speech and Language Processing, arXiv (Cornell University) and Spiral (Imperial College London).

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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