Antonio Miguel

1.5k total citations
90 papers, 752 citations indexed

About

Antonio Miguel is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Antonio Miguel has authored 90 papers receiving a total of 752 indexed citations (citations by other indexed papers that have themselves been cited), including 75 papers in Artificial Intelligence, 61 papers in Signal Processing and 11 papers in Computer Vision and Pattern Recognition. Recurrent topics in Antonio Miguel's work include Speech Recognition and Synthesis (65 papers), Speech and Audio Processing (57 papers) and Music and Audio Processing (43 papers). Antonio Miguel is often cited by papers focused on Speech Recognition and Synthesis (65 papers), Speech and Audio Processing (57 papers) and Music and Audio Processing (43 papers). Antonio Miguel collaborates with scholars based in Spain, Canada and United Kingdom. Antonio Miguel's co-authors include Eduardo Lleida, Alfonso Ortega, Jesús Villalba, David Martínez, L. Torres, Óscar Saz, José Ramón Beltrán, Phil Green, Richard C. Rose and Amparo Varona and has published in prestigious journals such as PLoS ONE, IEEE Access and Applied Sciences.

In The Last Decade

Antonio Miguel

86 papers receiving 691 citations

Peers

Antonio Miguel

CVPR

PHYSI

Ibon Ruiz Spain

Maria João M. Vasconcelos Portugal

Jianwei Yu China

Laura Verde Italy

Sérgio M. M. de Faria Portugal

Fok‐Ching Chong Taiwan

Francesco Girardi Italy

Krzysztof Marasek Poland

Douglas B. Paul United States

Zhi Tao China

Ibon Ruiz Spain

Antonio Miguel

248 ×0.5

108 ×0.2

31 ×0.4

CVPR

117 ×1.8

PHYSI

15 ×0.3

Citations per year, relative to Antonio Miguel Antonio Miguel (= 1×) peers Ibon Ruiz

Countries citing papers authored by Antonio Miguel

Since Specialization

Citations

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

Fields of papers citing papers by Antonio Miguel

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of Antonio Miguel

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

All Works

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20 of 20 papers shown

Barrio, Roberto, et al.. (2023). Deep Learning for chaos detection. Chaos An Interdisciplinary Journal of Nonlinear Science. 33(7). 11 indexed citations

Lleida, Eduardo, Luis Javier Rodríguez-Fuentes, Javier Tejedor, et al.. (2023). An Overview of the IberSpeech-RTVE 2022 Challenges on Speech Technologies. Applied Sciences. 13(15). 8577–8577.

Miguel, Antonio, et al.. (2023). On the Problem of Data Availability in Automatic Voice Disorder Detection. 2 indexed citations

Ortega, Alfonso, et al.. (2023). Cross-Corpus Training Strategy for Speech Emotion Recognition Using Self-Supervised Representations. Applied Sciences. 13(16). 9062–9062. 8 indexed citations

Miguel, Antonio, et al.. (2022). Wiener Filter and Deep Neural Networks: A Well-Balanced Pair for Speech Enhancement. Applied Sciences. 12(18). 9000–9000. 9 indexed citations

Miguel, Antonio, et al.. (2022). aDCF Loss Function for Deep Metric Learning in End-to-End Text-Dependent Speaker Verification Systems. IEEE/ACM Transactions on Audio Speech and Language Processing. 30. 772–784. 1 indexed citations

Rodríguez‐Tomàs, Elisabet, Meritxell Arenas, Antonio Miguel, et al.. (2021). Identification of potential metabolic biomarkers of rectal cancer and of the effect of neoadjuvant radiochemotherapy. PLoS ONE. 16(4). e0250453–e0250453. 16 indexed citations

Torres, L., et al.. (2020). Low-Dose radiation therapy for benign pathologies. Reports of Practical Oncology & Radiotherapy. 25(2). 250–254. 48 indexed citations

Lleida, Eduardo, et al.. (2019). Albayzin 2018 Evaluation: The IberSpeech-RTVE Challenge on Speech Technologies for Spanish Broadcast Media. Applied Sciences. 9(24). 5412–5412. 17 indexed citations

10.

Cabello, Laura, Eduardo Lleida, Javier Simón, Antonio Miguel, & Alfonso Ortega. (2018). Text-to-Pictogram Summarization for Augmentative and Alternative Communication. Procesamiento del lenguaje natural. 61(61). 15–22. 1 indexed citations

11.

Ortega, Alfonso, et al.. (2018). Estimation of the Number of Speakers with Variational Bayesian PLDA in the DIHARD Diarization Challenge.. 2803–2807. 15 indexed citations

12.

Ortega, Alfonso, et al.. (2018). A Recurrent Neural Network Approach to Audio Segmentation for Broadcast Domain Data. 87–91. 2 indexed citations

13.

Arenas, Meritxell, S. Sabater, Víctor Hernández, et al.. (2017). Individualized 3D scanning and printing for non-melanoma skin cancer brachytherapy: a financial study for its integration into clinical workflow. Journal of Contemporary Brachytherapy. 3(3). 270–276. 44 indexed citations

14.

Henrı́quez, I., David Parada, Pablo Gallardo, et al.. (2017). Prognostic correlation of cell cycle progression score and Ki-67 as a predictor of aggressiveness, biochemical failure, and mortality in men with high-risk prostate cancer treated with external beam radiation therapy. Reports of Practical Oncology & Radiotherapy. 22(3). 251–257. 4 indexed citations

15.

Castán, Diego, Alfonso Ortega, Antonio Miguel, & Eduardo Lleida. (2013). Broadcast News Segmentation with Factor Analysis System.. Conference of the International Speech Communication Association. 20–25. 3 indexed citations

16.

Saz, Óscar, Eduardo Lleida, & Antonio Miguel. (2009). Combination of acoustic and lexical speaker adaptation for disordered speech recognition. 544–547. 3 indexed citations

17.

Miguel, Antonio, et al.. (2009). Graphical models for discrete hidden Markov models in speech recognition. 1411–1414. 1 indexed citations

18.

Benedí, José-Miguel, et al.. (2006). Design and acquisition of a telephone spontaneous speech dialogue corpus in Spanish: DIHANA.. Language Resources and Evaluation. 1636–1639. 29 indexed citations

19.

Ortega, Alfonso, Federico M. Sukno, Eduardo Lleida, et al.. (2004). AV@CAR: A Spanish Multichannel Multimodal Corpus for In-Vehicle Automatic Audio-Visual Speech Recognition. Language Resources and Evaluation. 19 indexed citations

20.

Lleida, Eduardo, et al.. (2004). Multi-environment models based linear normalization for speech recognition in car conditions. 1. I–1013. 13 indexed citations

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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