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Aud-SWIPE-P: A parallelization of the Aud-SWIPE pitch estimation algorithm using multiple processes and threads
(Acta Press. Artificial Intelligence and Applications / 794: Modelling, Identification and Control / 795: Parallel and Distributed Computing and Networks / 796: Software Engineering / 792: Web-based Education (AIA 2013), 2013-02-11)
In this work we implement a parallel version of the pitch estimation algorithm Aud-SWIPE. The new implementation, Aud-SWIPE-P produces a remarkable acceleration, making it usable in applications where it was not efficient ...
SWIPE: A Sawtooth Waveform Inspired Pitch Estimator for Speech and Music
(2011-10-11)
A Sawtooth Waveform Inspired Pitch Estimator (SWIPE) has been developed for processing speech and music. SWIPE is shown to outperform existing algorithms on several publicly available speech/musical-instruments databases ...
Cancelación del ruido de ambiente en grabaciones de vocalizaciones de manatíes antillanos
(2015-03)
El manatí antillano es una especie que se encuentra amenazada a lo largo de su ámbito de distribución. Para promover su conservación, es importante localizar y contar individuos.
La estimación de población a través de sus ...
Automatic recognition of accessible pedestrian signals
(2018)
Accessible pedestrian signals (APS) enhance accessibility in streets around the world. Recent attempts to extend the use of APS to people with visual and audible impairments have emerged from the area of audio signal ...
The relationship between acoustic habitat, hearing and tonal vocalizations in the Antillean manatee (Trichechus manatus manatus, Linnaeus, 1758)
(2015-09)
The Antillean manatee (Trichechus manatus manatus) is an endangered marine mammal that inhabits the Caribbean Sea and riverine systems in Central America. Their acoustic behavior is relevant for individual identification, ...
Reconocimiento automático de acordes basado en una clasificación de las clases de altura por su volumen y una estimación del bajo
(2021)
El reconocimiento automático de acordes en audio es una tarea difícil. En los últimos 20 años se han realizado numerosas investigaciones para lograrlo, en las que destaca recientemente el uso de redes neuronales profundas. ...