237 citations · 1.1k across the 32 of their papers we have counts for
7 papers · 1 filter
Training neural audio classifiers with few data
Jordi Pons, Joan Serrà, Xavier Serra
We investigate supervised learning strategies that improve the training of neural network audio classifiers on small annotated collections. In particular, we study whether (i) a na…
Whispered-to-voiced Alaryngeal Speech Conversion with Generative Adversarial Networks
Santiago Pascual, Antonio Bonafonte, Joan Serrà +1
Most methods of voice restoration for patients suffering from aphonia either produce whispered or monotone speech. Apart from intelligibility, this type of speech lacks expressiven…
Self-Attention Linguistic-Acoustic Decoder
Santiago Pascual, Antonio Bonafonte, Joan Serrà
The conversion from text to speech relies on the accurate mapping from linguistic to acoustic symbol sequences, for which current practice employs recurrent statistical models like…
Assessing the impact of machine intelligence on human behaviour: an interdisciplinary endeavour
Emilia Gómez, Carlos Castillo, Vicky Charisi +23
This document contains the outcome of the first Human behaviour and machine intelligence (HUMAINT) workshop that took place 5-6 March 2018 in Barcelona, Spain. The workshop was org…
There goes Wally: Anonymously sharing your location gives you away
Apostolos Pyrgelis, Nicolas Kourtellis, Ilias Leontiadis +2
With current technology, a number of entities have access to user mobility traces at different levels of spatio-temporal granularity. At the same time, users frequently reveal thei…
Towards a universal neural network encoder for time series
Joan Serrà, Santiago Pascual, Alexandros Karatzoglou
We study the use of a time series encoder to learn representations that are useful on data set types with which it has not been trained on. The encoder is formed of a convolutional…
Overcoming catastrophic forgetting with hard attention to the task
Joan Serrà, Dídac Surís, Marius Miron +1
Catastrophic forgetting occurs when a neural network loses the information learned in a previous task after training on subsequent tasks. This problem remains a hurdle for artifici…