activity
20162025
most citedTowards a universal neural network encoder for time series

88 citations · 305 across the 22 of their papers we have counts for

collaborators
Showing 2019Show all

6 papers · 1 filter

cs.SD2019

Sample Drop Detection for Distant-speech Recognition with Asynchronous Devices Distributed in Space

Tina Raissi, Santiago Pascual, Maurizio Omologo

In many applications of multi-microphone multi-device processing, the synchronization among different input channels can be affected by the lack of a common clock and isolated drop…

cs.LG2019★ 49 cited

Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion

Joan Serrà, Santiago Pascual, Carlos Segura

End-to-end models for raw audio generation are a challenge, specially if they have to work with non-parallel data, which is a desirable setup in many situations. Voice conversion,…

cs.SD2019

Problem-Agnostic Speech Embeddings for Multi-Speaker Text-to-Speech with SampleRNN

David Álvarez, Santiago Pascual, Antonio Bonafonte

Text-to-speech (TTS) acoustic models map linguistic features into an acoustic representation out of which an audible waveform is generated. The latest and most natural TTS systems…

cs.SD2019

Towards Generalized Speech Enhancement with Generative Adversarial Networks

Santiago Pascual, Joan Serrà, Antonio Bonafonte

The speech enhancement task usually consists of removing additive noise or reverberation that partially mask spoken utterances, affecting their intelligibility. However, little att…

cs.LG2019★ 2 cited

Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks

Santiago Pascual, Mirco Ravanelli, Joan Serrà +2

Learning good representations without supervision is still an open issue in machine learning, and is particularly challenging for speech signals, which are often characterized by l…

cs.MM2019★ 9 cited

Wav2Pix: Speech-conditioned Face Generation using Generative Adversarial Networks

Amanda Duarte, Francisco Roldan, Miquel Tubau +7

Speech is a rich biometric signal that contains information about the identity, gender and emotional state of the speaker. In this work, we explore its potential to generate face i…