2 citations · 3 across the 5 of their papers we have counts for
5 papers · 1 filter
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…
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…
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…
Language and Noise Transfer in Speech Enhancement Generative Adversarial Network
Santiago Pascual, Maruchan Park, Joan Serrà +2
Speech enhancement deep learning systems usually require large amounts of training data to operate in broad conditions or real applications. This makes the adaptability of those sy…