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Researcher · EURECOM · France

Héctor Delgado

Héctor Delgado publishes mostly in Artificial Intelligence and Signal Processing, on topics such as Speech Recognition and Synthesis, Music and Audio Processing and Natural Language Processing Techniques.

World rank
#796,524
of 1,633,909 ranked researchers
Rank in France
#49,348
of 96,116
Works
15
Citations
40
Citations per work
2.7

What does Héctor Delgado research?

Artificial Intelligence: 58.3%Signal Processing: 41.7%58%top field
Artificial Intelligence58.3%Signal Processing41.7%

Shares of their own output, by the field each of their topics belongs to. The grey slice is everything not listed.

  1. 1Artificial Intelligence58% of their works
  2. 2Signal Processing42% of their works

Research topics

Which keywords describe Héctor Delgado's research?

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

Size is their works in the topics tagged with each word, from their 5 largest topics. Each links to the topic it comes from most.

All 13 words, with their numbers
  1. Convolutional Neural Networks72 topics
  2. Deep Learning63 topics
  3. Acoustic Modeling41 topic
  4. Deep Neural Networks41 topic
  5. Audio Signal Classification31 topic
  6. Music Information Retrieval31 topic
  7. Neural Networks32 topics
  8. Audio-Visual Speech Recognition21 topic
  9. Neural Machine Translation21 topic
  10. Speech Enhancement21 topic
  11. Statistical Machine Translation21 topic
  12. Adversarial Examples11 topic
  13. Robustness11 topic

Where does Héctor Delgado work?

Héctor Delgado's main affiliation in the publication record is EURECOM, France.

How many publications and citations does Héctor Delgado have?

Science Explorer counts 15 works and 40 citations for Héctor Delgado, ranking #796,524 of 1,633,909 researchers worldwide on the composite 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 are in the interactive view on the map. Is this your page? Request a correction or removal.