Néstor Becerra Yoma

Néstor Becerra Yoma

Universidad de Chile

H-index: 21

Latin America-Chile

About Néstor Becerra Yoma

Néstor Becerra Yoma, With an exceptional h-index of 21 and a recent h-index of 13 (since 2020), a distinguished researcher at Universidad de Chile, specializes in the field of Artificial intelligence and signal processing applied to HRI, speech processing and seismology..

His recent articles reflect a diverse array of research interests and contributions to the field:

A unified beamforming and source separation model for static and dynamic human-robot interaction

Respiratory distress estimation in human-robot interaction scenario

An HMM-DNN-Based System for the Detection and Classification of Low-Frequency Acoustic Signals from Baleen Whales, Earthquakes, and Air Guns off Chile

Dyspnea severity assessment based on vocalization behavior with deep learning on the telephone

An end-to-end DNN-HMM based system with duration modeling for robust earthquake detection

Automatic Detection of Dyspnea in Real Human–Robot Interaction Scenarios

Enhancing the correlation between the quality and intelligibility objective metrics with the subjective scores by shallow feed forward neural network for time–frequency masking …

End-to-end LSTM based estimation of volcano event epicenter localization

Néstor Becerra Yoma Information

University

Position

___

Citations(all)

1384

Citations(since 2020)

578

Cited By

1056

hIndex(all)

21

hIndex(since 2020)

13

i10Index(all)

38

i10Index(since 2020)

17

Email

University Profile Page

Universidad de Chile

Google Scholar

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Néstor Becerra Yoma Skills & Research Interests

Artificial intelligence and signal processing applied to HRI

speech processing and seismology.

Top articles of Néstor Becerra Yoma

Title

Journal

Author(s)

Publication Date

A unified beamforming and source separation model for static and dynamic human-robot interaction

JASA Express Letters

Jorge Wuth

Rodrigo Mahu

Israel Cohen

Richard M Stern

Néstor Becerra Yoma

2024/3/1

Respiratory distress estimation in human-robot interaction scenario

Proceedings of the Interspeech, Dublin, Ireland

Eduardo Alvarado

Nicolás Grágeda

Alejandro Luzanto

Rodrigo Mahu

Jorge Wuth

...

2023/8

An HMM-DNN-Based System for the Detection and Classification of Low-Frequency Acoustic Signals from Baleen Whales, Earthquakes, and Air Guns off Chile

Remote Sensing

Susannah J Buchan

Miguel Duran

Constanza Rojas

Jorge Wuth

Rodrigo Mahu

...

2023/5/13

Dyspnea severity assessment based on vocalization behavior with deep learning on the telephone

Sensors

Eduardo Alvarado

Nicolás Grágeda

Alejandro Luzanto

Rodrigo Mahu

Jorge Wuth

...

2023/2/22

An end-to-end DNN-HMM based system with duration modeling for robust earthquake detection

Computers & Geosciences

Catalina Murúa

Marcelo Marín

Aarón Cofré

Jorge Wuth

Oscar Vásquez Pino

...

2023/10/1

Automatic Detection of Dyspnea in Real Human–Robot Interaction Scenarios

Sensors

Eduardo Alvarado

Nicolás Grágeda

Alejandro Luzanto

Rodrigo Mahu

Jorge Wuth

...

2023/9/1

Enhancing the correlation between the quality and intelligibility objective metrics with the subjective scores by shallow feed forward neural network for time–frequency masking …

Applied Acoustics

Sania Gul

Muhammad Salman Khan

Nestor Becerra Yoma

Syed Waqar Shah

2022/1/1

End-to-end LSTM based estimation of volcano event epicenter localization

Journal of Volcanology and Geothermal Research

Néstor Becerra Yoma

Jorge Wuth

Andres Pinto

Nicolas de Celis

Jorge Celis

...

2022/9/1

End-to-End LSTM-based earthquake magnitude estimation with a single station

IEEE Geoscience and Remote Sensing Letters

Aarón Cofré

Marcelo Marín

Oscar Vásquez Pino

Nicolás Galleguillos

Sebastián Riquelme

...

2022/5/13

The role of speech technology in user perception and context acquisition in hri

International Journal of Social Robotics

Jorge Wuth

Pedro Correa

Tomás Núñez

Matías Saavedra

Néstor Becerra Yoma

2021/8

Automatic speech recognition for indoor hri scenarios

ACM Transactions on Human-Robot Interaction (THRI)

José Novoa

Rodrigo Mahu

Jorge Wuth

Juan Pablo Escudero

Josué Fredes

...

2021/3/8

Assessing the effect of visual servoing on the performance of linear microphone arrays in moving human-robot interaction scenarios

Computer Speech & Language

Alejandro Díaz

Rodrigo Mahu

Jose Novoa

Jorge Wuth

Jayanta Datta

...

2021/1/1

Non causal deep learning based dereverberation

arXiv preprint arXiv:2009.02832

Jorge Wuth

Richard M Stern

Nestor Becerra Yoma

2020/9/6

Implantable neuroamplifers for electrocorticography using flexible and biocompatible technology

physica status solidi (a)

Juan Pablo Marcoleta

Waldo Nogueira

Néstor Becerra Yoma

Jorge Wuth

Filip Jakimovski

...

2020/7

An unsupervised Hidden Markov Model-based system for the detection and classification of blue whale vocalizations off Chile

Bioacoustics

Susannah J Buchan

Rodrigo Mahú

Jorge Wuth

Naysa Balcazar-Cabrera

Laura Gutierrez

...

2020/3/3

Short-time deep-learning based source separation for speech enhancement in reverberant environments with beamforming

arXiv preprint arXiv:2011.01965

Alejandro Díaz

Diego Pincheira

Rodrigo Mahu

Nestor Becerra Yoma

2020/11/3

See List of Professors in Néstor Becerra Yoma University(Universidad de Chile)