João Monteiro

447 citations

17 papers · 165 indexed · h-index 9

Co-authors: Tiago H. Falk Jahangir Alam Isabela Albuquerque Ioannis Mitliagkas Anderson R. Avila Thang Doan Zahid Akhtar Xianglei Liu
Topics: Speech Recognition and Synthesis (10 papers)Speech and Audio Processing (9 papers)Music and Audio Processing (6 papers)
Cited by: Signal Processing Artificial Intelligence Acoustics and Ultrasonics
Journals: Speech Communication Language Resources and Evaluation Photonics Research
Partner nations: Canada Morocco China

In The Last Decade

João Monteiro

17 papers receiving 162 citations

Peers

Countries citing papers authored by João Monteiro

Since Specialization

Citations

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

Fields of papers citing papers by João Monteiro

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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

Co-authorship network of co-authors of João Monteiro

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

All Works

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17 of 17 papers shown

#	Work	Indexed citations
1	Estimating distribution shifts for predicting cross-subject generalization in electroencephalography-based mental workload assessment 2022 ·Frontiers in Artificial Intelligence ·Isabela Albuquerque,João Monteiro,(unknown),Tiago H. Falk	3
2	Multi-level self-attentive TDNN: A general and efficient approach to summarize speech into discriminative utterance-level representations 2022 ·Speech Communication ·João Monteiro,Jahangir Alam,Tiago H. Falk	5
3	Single-shot real-time compressed ultrahigh-speed imaging enabled by a snapshot-to-video autoencoder 2021 ·Photonics Research ·Xianglei Liu,João Monteiro,Isabela Albuquerque,(unknown),Cheng Jiang,Shian Zhang,Tiago H. Falk,Jinyang Liang	12
4	On The Performance of Time-Pooling Strategies for End-to-End Spoken Language Identification. 2020 ·Language Resources and Evaluation ·João Monteiro,Jahangir Alam,Tiago H. Falk	3
5	An Ensemble Based Approach for Generalized Detection of Spoofing Attacks to Automatic Speaker Recognizers 2020 ·João Monteiro,Jahangir Alam,Tiago H. Falk	13
6	A Multi-condition Training Strategy for Countermeasures Against Spoofing Attacks to Speaker Recognizers 2020 ·João Monteiro,Jahangir Alam,Tiago H. Falk	3
7	Generalized end-to-end detection of spoofing attacks to automatic speaker recognizers 2020 ·Computer Speech & Language ·João Monteiro,Jahangir Alam,Tiago H. Falk	42
8	Fully Quantizing a Simplified Transformer for End-to-end Speech Recognition 2019 ·arXiv (Cornell University) ·(unknown),(unknown),João Monteiro,(unknown),Mehdi Rezagholizadeh	3
9	Adversarial target-invariant representation learning for domain generalization 2019 ·arXiv (Cornell University) ·Isabela Albuquerque,João Monteiro,(unknown),Tiago H. Falk,Ioannis Mitliagkas	14
10	Combining Speaker Recognition and Metric Learning for Speaker-Dependent Representation Learning 2019 ·João Monteiro,Jahangir Alam,Tiago H. Falk	4
11	AMA: An Open-source Amplitude Modulation Analysis Toolkit for Signal Processing Applications 2019 ·Raymundo Cassani,Isabela Albuquerque,João Monteiro,Tiago H. Falk	2
12	End-To-End Detection Of Attacks To Automatic Speaker Recognizers With Time-Attentive Light Convolutional Neural Networks 2019 ·João Monteiro,Jahangir Alam,Tiago H. Falk	12
13	Multi-objective training of Generative Adversarial Networks with multiple discriminators 2019 ·arXiv (Cornell University) ·Isabela Albuquerque,João Monteiro,Thang Doan,(unknown),Tiago H. Falk,Ioannis Mitliagkas	10
14	Development of Voice Spoofing Detection Systems for 2019 Edition of Automatic Speaker Verification and Countermeasures Challenge 2019 ·João Monteiro,Jahangir Alam	8
15	Residual convolutional neural network with attentive feature pooling for end-to-end language identification from short-duration speech 2019 ·Computer Speech & Language ·João Monteiro,Jahangir Alam,Tiago H. Falk	14
16	Adversarial Examples Detection Using No-Reference Image Quality Features 2018 ·Zahid Akhtar,João Monteiro,Tiago H. Falk	6
17	Speech emotion recognition on mobile devices based on modulation spectral feature pooling and deep neural networks 2017 ·Anderson R. Avila,João Monteiro,(unknown),Tiago H. Falk	11

About João Monteiro

João Monteiro is a scholar working on Signal Processing, Artificial Intelligence and Instrumentation, having authored 17 papers that have together received 165 indexed citations. Recurring topics across this work include Speech Recognition and Synthesis (10 papers), Speech and Audio Processing (9 papers) and Music and Audio Processing (6 papers). The work is most often cited by research in Signal Processing (101 citations), Artificial Intelligence (110 citations) and Acoustics and Ultrasonics (2 citations). João Monteiro has collaborated with scholars based in Canada, Morocco and China. Frequent co-authors include Tiago H. Falk, Jahangir Alam, Isabela Albuquerque, Ioannis Mitliagkas, Anderson R. Avila, Thang Doan, Zahid Akhtar, Xianglei Liu, Shian Zhang and Jinyang Liang. Their work appears in journals such as Speech Communication, Language Resources and Evaluation and Photonics Research.

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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