David Escudero-Mancebo

65 papers receiving 886 citations

Hit Papers

MCYT baseline corpus: a bimodal biometric database20032026201020182003100200300400

Peers

David Escudero-Mancebo
Comparison fields: 5 of 63
  • Artificial Intelligence 486
  • Computer Vision and Pattern Recognition 426
  • Signal Processing 293
  • Experimental and Cognitive Psychology 241
  • Information Systems 173
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Countries citing papers authored by David Escudero-Mancebo

Since Specialization
Citations

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

Fields of papers citing papers by David Escudero-Mancebo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by David Escudero-Mancebo. 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 David Escudero-Mancebo. The network helps show where David Escudero-Mancebo may publish in the future.

Co-authorship network of co-authors of David Escudero-Mancebo

This figure shows the co-authorship network connecting the top 25 collaborators of David Escudero-Mancebo. A scholar is included among the top collaborators of David Escudero-Mancebo 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 David Escudero-Mancebo. David Escudero-Mancebo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 1
2 8
3 3
4 1
5 21
6 30
7 15
8
Measuring Pronunciation Improvement in Users of CAPT Tool TipTopTalk
4
9
The magic stone: a video game to improve communication skills of people with intellectual disabilities
3
10
On the Use of a Serious Game for Recording a Speech Corpus of People with Intellectual Disabilities
4
11 7
12
On the use of a fuzzy classifier to speed up the Sp ToBI labeling of the Glissando Spanish corpus
1
13
Assessment of Non-native Prosody for Spanish as L2 using quantitative scores and perceptual evaluation
2
14 1
15 1
16
Hacia la definición de un corpus equilibrado prosódicamente: estrategia combinada de algoritmos voraces y manipulación de expertos
0
17
On the definition of a prosodically balaced corpus: combining greedy algorithms with expert guided manipulation
3
18
Analysis of prosodic features : towards modelling of emotional and pragmatic attributes of speech
20
19
Modelado estadístico de entonación con funciones de Bézier: aplicaciones a la conversión texto-voz en español
8
20
Modelo cuantitativo de entonación del español.
1

About David Escudero-Mancebo

David Escudero-Mancebo is a scholar working on Experimental and Cognitive Psychology, Artificial Intelligence and Human Factors and Ergonomics, having authored 69 papers that have together received 969 indexed citations. Recurring topics across this work include Phonetics and Phonology Research (34 papers), Speech Recognition and Synthesis (30 papers) and Speech and dialogue systems (29 papers). The work is most often cited by research in Signal Processing (293 citations), Computer Vision and Pattern Recognition (426 citations) and Experimental and Cognitive Psychology (241 citations). David Escudero-Mancebo has collaborated with scholars based in Spain, Netherlands and Switzerland. Frequent co-authors include Valentín Cardeñoso-Payo, Carlos Vivaracho‐Pascual, César González-Ferreras, J. M. Gonzalez, Marcos Faúndez-Zanuy, Julián Fiérrez, Javier Ortega-García, Inma Hernáez, Juan J. Igarza and Antonio Bonafonte. Their work appears in journals such as IEEE Access, Applied Sciences and IEEE 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.

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