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Researcher · NTT (Japan) · Japan

Miquel Espi

Miquel Espi publishes mostly in Signal Processing, Artificial Intelligence and Electrical and Electronic Engineering, on topics such as Speech and Audio Processing, Speech Recognition and Synthesis and Music and Audio Processing.

OpenAlex
World rank
#3,691,656
of 7,710,434 ranked researchers
Rank in Japan
#93,720
of 383,136
Works
18
Citations
428
Citations per work
23.8
h-index
5
i10-index 4Top 87% in Signal Processing
Miquel Espi

What does Miquel Espi research?

Miquel Espi's work is mostly in Computer Science (73%), Engineering (10%), Social Sciences (8%).

Physical Sciences: 15 works · 83.4% of their workComputer Science: 13 works · 72.9% of their workSignal Processing: 9 works · 50.0% of their workArtificial Intelligence: 4 works · 22.9% of their workEngineering: 2 works · 10.5% of their workElectrical and Electronic Engineering: 1 works · 6.3% of their workAerospace Engineering: 1 works · 4.2% of their workSocial Sciences: 2 works · 8.4% of their workSocial Sciences: 2 works · 8.4% of their workSociology and Political Science: 1 works · 4.2% of their workTransportation: 1 works · 4.2% of their workEverything else: 1 works · 8.2% of their workTHEIR WORKMiquel Espi18works
Physical Sciences83%Social Sciences8%

Their six largest subfields, inside their fields and domains; the grey slice is everything else they publish. The interactive view splits every one of their works down to single topics.

The fields and subfields, with their numbers
    1. Computer Science1372.9%
    2. Engineering210.5%
    1. Social Sciences28.4%
  3. Everything else18.2%
  1. 1Signal Processing50% of their works
  2. 2Artificial Intelligence23% of their works
  3. 3Electrical and Electronic Engineering6% of their works
  4. 4Aerospace Engineering4% of their works
  5. 5Sociology and Political Science4% of their works
  6. 6Transportation4% of their works

Research topics

Which keywords describe Miquel Espi's research?

The keywords of their largest research topics: Deep Learning, Convolutional Neural Networks, Audio-Visual Speech Recognition, Speech Enhancement, Acoustic Modeling, Deep Neural Networks, Audio Signal Classification and Music Information Retrieval.

Size is their works in the topics tagged with each word, from their 8 largest topics. Each links to the topic it comes from most.

All 18 words, with their numbers
  1. Deep Learning242 topics
  2. Convolutional Neural Networks212 topics
  3. Audio-Visual Speech Recognition141 topic
  4. Speech Enhancement141 topic
  5. Acoustic Modeling111 topic
  6. Deep Neural Networks111 topic
  7. Audio Signal Classification101 topic
  8. Music Information Retrieval101 topic
  9. Air Force21 topic
  10. Culture21 topic
  11. Islam21 topic
  12. Legal Regulation21 topic
  13. Modernization21 topic
  14. Network Management21 topic
  15. Telecommunication Engineering21 topic
  16. Transport Policy21 topic
  17. Adaptive Filtering11 topic
  18. Non-Gaussian Signal Processing11 topic

Where does Miquel Espi work?

Miquel Espi's main affiliation in the publication record is NTT (Japan), Japan.

How many publications and citations does Miquel Espi have?

OpenAlex counts 18 works and 428 citations for Miquel Espi, an h-index of 5, ranking #3,691,656 of 7,710,434 researchers worldwide on the quality score.

Ranked on field-normalised excellence (50%), output (30%) and citations (20%). Counts come from OpenAlex author records, which occasionally merge different people who share a name or split one person into several.

Papers, co-authors, who cited this work and researchers on the nearest topics have tabs of their own, above. Is this your page? Claim it with your ORCID iD, or request a correction or removal.

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