1 citations · 1 across the 6 of their papers we have counts for
8 papers
An Objective Intelligibility Metric Evaluation on Spanish Speech
Iván López-Espejo, Jesper Jensen
Objective intelligibility metrics (OIMs) enable fast and low-cost evaluation of speech intelligibility and are widely used in speech technology assessment. In this study, we evalua…
Noise-Robust Hearing Aid Voice Control
Iván López-Espejo, Eros Roselló, Amin Edraki +2
Advancing the design of robust hearing aid (HA) voice control is crucial to increase the HA use rate among hard of hearing people as well as to improve HA users' experience. In thi…
ASASVIcomtech: The Vicomtech-UGR Speech Deepfake Detection and SASV Systems for the ASVspoof5 Challenge
Juan M. Martín-Doñas, Eros Roselló, Angel M. Gomez +3
This paper presents the work carried out by the ASASVIcomtech team, made up of researchers from Vicomtech and University of Granada, for the ASVspoof5 Challenge. The team has parti…
On Speech Pre-emphasis as a Simple and Inexpensive Method to Boost Speech Enhancement
Iván López-Espejo, Aditya Joglekar, Antonio M. Peinado +1
Pre-emphasis filtering, compensating for the natural energy decay of speech at higher frequencies, has been considered as a common pre-processing step in a number of speech process…
Improved Vocal Effort Transfer Vector Estimation for Vocal Effort-Robust Speaker Verification
Iván López-Espejo, Santi Prieto, Alfonso Ortega +1
Despite the maturity of modern speaker verification technology, its performance still significantly degrades when facing non-neutrally-phonated (e.g., shouted and whispered) speech…
Filterbank Learning for Noise-Robust Small-Footprint Keyword Spotting
Iván López-Espejo, Ram C. M. C. Shekar, Zheng-Hua Tan +2
In the context of keyword spotting (KWS), the replacement of handcrafted speech features by learnable features has not yielded superior KWS performance. In this study, we demonstra…
Deep Spoken Keyword Spotting: An Overview
Iván López-Espejo, Zheng-Hua Tan, John Hansen +1
Spoken keyword spotting (KWS) deals with the identification of keywords in audio streams and has become a fast-growing technology thanks to the paradigm shift introduced by deep le…
Exploring Filterbank Learning for Keyword Spotting
Iván López-Espejo, Zheng-Hua Tan, Jesper Jensen
Despite their great performance over the years, handcrafted speech features are not necessarily optimal for any particular speech application. Consequently, with greater or lesser…