1 citations · 1 across the 4 of their papers we have counts for
5 papers
EEG-Based Imagined Speech Decoding Using a Hybrid CNN-SNN Architecture
Fatima Shalhoub, Mariam Al Mawla, Kabalan Chaccour +2
Imagined speech decoding using EEG signals has emerged as a promising frontier in brain-computer interface (BCI) research, particularly to restore communication for individuals wit…
Evaluating Speech Enhancement Systems Through Listening Effort
Femke B. Gelderblom, Tron V. Tronstad, Iván López-Espejo
Understanding degraded speech is demanding, requiring increased listening effort (LE). Evaluating processed and unprocessed speech with respect to LE can objectively indicate if sp…
Shouted Speech Compensation for Speaker Verification Robust to Vocal Effort Conditions
Santi Prieto, Alfonso Ortega, Iván López-Espejo +1
The performance of speaker verification systems degrades when vocal effort conditions between enrollment and test (e.g., shouted vs. normal speech) are different. This is a potenti…
End-to-End Deep Residual Learning with Dilated Convolutions for Myocardial Infarction Detection and Localization
Iván López-Espejo
In this report, I investigate the use of end-to-end deep residual learning with dilated convolutions for myocardial infarction (MI) detection and localization from electrocardiogra…
Keyword Spotting for Hearing Assistive Devices Robust to External Speakers
Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen
Keyword spotting (KWS) is experiencing an upswing due to the pervasiveness of small electronic devices that allow interaction with them via speech. Often, KWS systems are speaker-i…