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ORCIDMarvin Coto-Jiménez
Person information
- affiliation: University of Costa Rica, San José, Costa Rica
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2020 – today
- 2024
[c14]Juan Angel Acosta-Ceja, Marvin Coto-Jiménez, Máximo Eduardo Sánchez-Gutiérrez, Alma Rocío Sagaceta-Mejía, Julián Fresán-Figueroa:
Feature Engineering for Music/Speech Detection in Costa Rica Radio Broadcast. MCPR 2024: 84-95- 2022
- [j6]Michelle Gutiérrez-Muñoz
, Marvin Coto-Jiménez:
An Experimental Study on Speech Enhancement Based on a Combination of Wavelets and Deep Learning. Comput. 10(6): 102 (2022) - [j5]Ronald Caravaca-Mora, Carlos Brenes-Jiménez, Marvin Coto-Jiménez:
A Comparative Study on Denoising Algorithms for Footsteps Sounds as Biometric in Noisy Environments. Comput. 10(8): 133 (2022) - [j4]Marvin Coto-Jiménez:
Measuring the Quality of Low-Resourced Statistical Parametric Speech Synthesis Trained with Noise-Degraded Data Supported by the University of Costa Rica. Computación y Sistemas 26(2) (2022) - 2021
- [i3]Ana Lilia Alvarez-Blanco, Eugenia Cordoba-Warner, Marvin Coto-Jiménez, Vivian Fallas-Lopez, Maribel Morales Rodriguez:
Generacion de voces artificiales infantiles en castellano con acento costarricense. CoRR abs/2102.01692 (2021) - 2020
- [c13]Marvin Coto-Jiménez:
Experimental Study on Transfer Learning in Denoising Autoencoders for Speech Enhancement. MCPR 2020: 307-317
2010 – 2019
- 2019
- [c12]Carolina Paniagua-Peñaranda, Marisol Zeledón-Córdoba, Marvin Coto-Jiménez:
Assessing the Robustness of Recurrent Neural Networks to Enhance the Spectrum of Reverberated Speech. CARLA 2019: 276-290 - [c11]Víctor Yeom-Song, Marisol Zeledón-Córdoba, Marvin Coto-Jiménez:
A Performance Evaluation of Several Artificial Neural Networks for Mapping Speech Spectrum Parameters. CARLA 2019: 291-306 - [c10]Andrei Alfaro-Picado, Stacy Solís-Cerdas, Marvin Coto-Jiménez:
An Experimental Study on Fundamental Frequency Detection in Reverberated Speech with Pre-trained Recurrent Neural Networks. CARLA 2019: 355-368 - [c9]Marvin Coto-Jiménez:
Measuring the Effect of Reverberation on Statistical Parametric Speech Synthesis. CARLA 2019: 369-382 - [c8]Astryd González-Salazar, Michelle Gutiérrez-Muñoz, Marvin Coto-Jiménez:
Enhancing Speech Recorded from a Wearable Sensor Using a Collection of Autoencoders. CARLA 2019: 383-397 - [i2]Marvin Coto-Jiménez:
Supervised Initialization of LSTM Networks for Fundamental Frequency Detection in Noisy Speech Signals. CoRR abs/1911.04580 (2019) - 2018
- [j3]Marvin Coto-Jiménez, John Goddard Close:
LSTM Deep Neural Networks Postfiltering for Enhancing Synthetic Voices. Int. J. Pattern Recognit. Artif. Intell. 32(1): 1860008:1-1860008:24 (2018) - [c7]Marvin Coto-Jiménez:
Pre-training Long Short-term Memory Neural Networks for Efficient Regression in Artificial Speech Postfiltering. IWOBI 2018: 1-7 - [c6]Marvin Coto-Jiménez, John Goddard Close, Leandro E. Di Persia, Hugo Leonardo Rufiner:
Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders. IWOBI 2018: 1-8 - [c5]Marvin Coto-Jiménez:
Robustness of LSTM Neural Networks for the Enhancement of Spectral Parameters in Noisy Speech Signals. MICAI (2) 2018: 227-238 - 2016
- [j2]Marvin Coto-Jiménez, John Goddard Close:
Speech Synthesis Based on Hidden Markov Models and Deep Learning. Res. Comput. Sci. 112: 19-28 (2016) - [c4]Marvin Coto-Jiménez, John Goddard Close:
Hidden Markov Models for Artificial Voice Production and Accent Modification. IBERAMIA 2016: 415-426 - [c3]Marvin Coto-Jiménez, John Goddard Close:
LSTM Deep Neural Networks Postfiltering for Improving the Quality of Synthetic Voices. MCPR 2016: 280-289 - [c2]Marvin Coto-Jiménez, John Goddard Close, Fabiola Martínez Licona:
Improving Automatic Speech Recognition Containing Additive Noise Using Deep Denoising Autoencoders of LSTM Networks. SPECOM 2016: 354-361 - [i1]Marvin Coto-Jiménez, John Goddard Close:
LSTM Deep Neural Networks Postfiltering for Improving the Quality of Synthetic Voices. CoRR abs/1602.02656 (2016) - 2014
- [j1]Marvin Coto-Jiménez, Fabiola Martínez Licona, John Goddard Close:
Acoustic Vowel Analysis in a Mexican Spanish HMM-based Speech Synthesis. Res. Comput. Sci. 86: 53-62 (2014) - [c1]Marvin Coto-Jiménez, John Goddard Close, Fabiola Martínez Licona:
Quality Assessment of HMM-Based Speech Synthesis Using Acoustical Vowel Analysis. SPECOM 2014: 368-375
Coauthor Index
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