Mireia Farrús

1.1k citations
70 papers · 654 indexed · h-index 14

Mireia Farrús

65 papers receiving 605 citations

Peers

Mireia Farrús
Comparison fields: 5 of 76
  • Signal Processing 214
  • Artificial Intelligence 459
  • Experimental and Cognitive Psychology 150
  • Developmental Biology 12
  • Language and Linguistics 52
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Citations per year

Countries citing papers authored by Mireia Farrús

Since Specialization
Citations

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

Fields of papers citing papers by Mireia Farrús

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network

The 25 scholars most cited alongside Mireia Farrús, 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 Mireia Farrús Line = papers co-authored together Mireia Farrús links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1 20230
2 20234
3 20211
4 20214
5 20202
6
CATOTRON – A Neural text-to-speech system in catalan
20202
7 20202
8
Compilation of Corpora for the Study of the Information Structure–Prosody Interface
20182
9 20183
10
Prosograph: a tool for prosody visualisation of large speech corpora
20176
11
A Thematicity-based prosody enrichment tool for CTS
20174
12
A LARGE SPANISH-CATALAN PARALLEL CORPUS RELEASE FOR MACHINE TRANSLATION
20141
13
STUDY AND COMPARISON OF RULE-BASED AND STATISTICAL CATALAN-SPANISH MACHINE TRANSLATION SYSTEMS
201230
14
L’ensenyament universitari del segle XXI: més enllà del paper
20110
15
Prosody in Automatic Speaker Recognition
20101
16
Automatic and human evaluation study of a rule-based and a statistical Catalan-Spanish machine translation systems
20101
17 20088
18 2007149
19
Fusión de sistemas de reconocimiento basados en características de alto y bajo nivel
20072
20
Segmentació de locutor per a la indexació automàtica de bases de dades multimèdia en català
20041

About Mireia Farrús

Mireia Farrús is a scholar working on Artificial Intelligence, Signal Processing and Experimental and Cognitive Psychology, having authored 70 papers that have together received 654 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (32 papers), Natural Language Processing Techniques (27 papers), Speech and dialogue systems (22 papers), Topic Modeling (14 papers), Speech and Audio Processing (12 papers), Phonetics and Phonology Research (10 papers), Music and Audio Processing (7 papers) and Text Readability and Simplification (6 papers). The work is most often cited by research in Signal Processing (214 citations), Artificial Intelligence (459 citations) and Experimental and Cognitive Psychology (150 citations). Mireia Farrús has collaborated with scholars based in Spain, United Kingdom and Australia. Frequent co-authors include Javier Hernando, Marta R. Costa‐jussà, José Bernardo Mariño Acebal, José A. R. Fonollosa, Catherine Lai, Leo Wanner, Johanna D. Moore, Michael Wagner, Daniel Erro and Joan Codina. Their work appears in journals such as ACM Computing Surveys, Applied Sciences and Telematics and Informatics.

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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