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04/08/2022
Analysis and transformations of intensity in singing voice
In this paper we introduce a neural auto-encoder that transforms the voi...
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04/02/2022
StyleWaveGAN: Style-based synthesis of drum sounds with extensive controls using generative adversarial networks
In this paper we introduce StyleWaveGAN, a style-based drum sound genera...
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02/11/2022
Audio Defect Detection in Music with Deep Networks
With increasing amounts of music being digitally transferred from produc...
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10/07/2021
Sequence-To-Sequence Voice Conversion using F0 and Time Conditioning and Adversarial Learning
This paper presents a sequence-to-sequence voice conversion (S2S-VC) alg...
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10/07/2021
Towards Universal Neural Vocoding with a Multi-band Excited WaveNet
This paper introduces the Multi-Band Excited WaveNet a neural vocoder fo...
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07/26/2021
Beyond Voice Identity Conversion: Manipulating Voice Attributes by Adversarial Learning of Structured Disentangled Representations
Voice conversion (VC) consists of digitally altering the voice of an ind...
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04/15/2021
Speaker Attentive Speech Emotion Recognition
Speech Emotion Recognition (SER) task has known significant improvements...
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04/15/2021
Towards end-to-end F0 voice conversion based on Dual-GAN with convolutional wavelet kernels
This paper presents a end-to-end framework for the F0 transformation in ...
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03/02/2020
Semi-supervised learning of glottal pulse positions in a neural analysis-synthesis framework
This article investigates into recently emerging approaches that use dee...
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10/22/2019
SoftGAN: Learning generative models efficiently with application to CycleGAN Voice Conversion
Voice conversion with deep neural networks has become extremely popular ...
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10/21/2019
Sound texture synthesis using RI spectrograms
This article introduces a new parametric synthesis method for sound text...
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05/09/2019
Sound texture synthesis using convolutional neural networks
The following article introduces a new parametric synthesis algorithm fo...
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03/04/2019
Data Augmentation for Drum Transcription with Convolutional Neural Networks
A recurrent issue in deep learning is the scarcity of data, in particula...
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03/04/2019
Improving singing voice separation using Deep U-Net and Wave-U-Net with data augmentation
State-of-the-art singing voice separation is based on deep learning maki...
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03/04/2019
Analysing Deep Learning-Spectral Envelope Prediction Methods for Singing Synthesis
We conduct an investigation on various hyper-parameters regarding neural...
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01/31/2015