Quality Assessment of HMM-Based Speech Synthesis Using Acoustical Vowel Analysis. - Marvin Coto-Jiménez; John Goddard Close; Fabiola Martínez Licona (SPECOM, 2014)

Acoustic Vowel Analysis in a Mexican Spanish HMM-based Speech Synthesis. - Marvin Coto-Jiménez; Fabiola Martínez Licona; John Goddard Close (Res. Comput. Sci., 2014)

Hidden Markov Models for Artificial Voice Production and Accent Modification. - Marvin Coto-Jiménez; John Goddard Close (IBERAMIA, 2016)

LSTM Deep Neural Networks Postfiltering for Improving the Quality of Synthetic Voices. - Marvin Coto-Jiménez; John Goddard Close (MCPR, 2016)

Improving Automatic Speech Recognition Containing Additive Noise Using Deep Denoising Autoencoders of LSTM Networks. - Marvin Coto-Jiménez; John Goddard Close; Fabiola Martínez Licona (SPECOM, 2016)

Speech Synthesis Based on Hidden Markov Models and Deep Learning. - Marvin Coto-Jiménez; John Goddard Close (Res. Comput. Sci., 2016)

Pre-training Long Short-term Memory Neural Networks for Efficient Regression in Artificial Speech Postfiltering. - Marvin Coto-Jiménez (IWOBI, 2018)

Hybrid Speech Enhancement with Wiener filters and Deep LSTM Denoising Autoencoders. - Marvin Coto-Jiménez; John Goddard Close; Leandro E. Di Persia; Hugo Leonardo Rufiner (IWOBI, 2018)

Robustness of LSTM Neural Networks for the Enhancement of Spectral Parameters in Noisy Speech Signals. - Marvin Coto-Jiménez (MICAI (2), 2018)

LSTM Deep Neural Networks Postfiltering for Enhancing Synthetic Voices. - Marvin Coto-Jiménez; John Goddard Close (Int. J. Pattern Recognit. Artif. Intell., 2018)

An Experimental Study on Fundamental Frequency Detection in Reverberated Speech with Pre-trained Recurrent Neural Networks. - Andrei Alfaro-Picado; Stacy Solís-Cerdas; Marvin Coto-Jiménez (CARLA, 2019)

Measuring the Effect of Reverberation on Statistical Parametric Speech Synthesis. - Marvin Coto-Jiménez (CARLA, 2019)

Enhancing Speech Recorded from a Wearable Sensor Using a Collection of Autoencoders. - Astryd González-Salazar; Michelle Gutiérrez-Muñoz; Marvin Coto-Jiménez (CARLA, 2019)

Assessing the Robustness of Recurrent Neural Networks to Enhance the Spectrum of Reverberated Speech. - Carolina Paniagua-Peñaranda; Marisol Zeledón-Córdoba; Marvin Coto-Jiménez (CARLA, 2019)

A Performance Evaluation of Several Artificial Neural Networks for Mapping Speech Spectrum Parameters. - Víctor Yeom-Song; Marisol Zeledón-Córdoba; Marvin Coto-Jiménez (CARLA, 2019)

Supervised Initialization of LSTM Networks for Fundamental Frequency Detection in Noisy Speech Signals. - Marvin Coto-Jiménez (CoRR, 2019)

Experimental Study on Transfer Learning in Denoising Autoencoders for Speech Enhancement. - Marvin Coto-Jiménez (MCPR, 2020)

Generacion de voces artificiales infantiles en castellano con acento costarricense. - Ana Lilia Alvarez-Blanco; Eugenia Cordoba-Warner; Marvin Coto-Jiménez; Vivian Fallas-Lopez; Maribel Morales Rodriguez (CoRR, 2021)

A Comparative Study on Denoising Algorithms for Footsteps Sounds as Biometric in Noisy Environments. - Ronald Caravaca-Mora; Carlos Brenes-Jiménez; Marvin Coto-Jiménez (Comput., 2022)

An Experimental Study on Speech Enhancement Based on a Combination of Wavelets and Deep Learning. - Michelle Gutiérrez-Muñoz; Marvin Coto-Jiménez (Comput., 2022)

Measuring the Quality of Low-Resourced Statistical Parametric Speech Synthesis Trained with Noise-Degraded Data Supported by the University of Costa Rica. - Marvin Coto-Jiménez (Computación y Sistemas, 2022)

Feature Engineering for Music/Speech Detection in Costa Rica Radio Broadcast. - Juan Angel Acosta-Ceja; Marvin Coto-Jiménez; Máximo Eduardo Sánchez-Gutiérrez; Alma Rocío Sagaceta-Mejía; Julián Fresán-Figueroa (MCPR, 2024)