research
∙
06/15/2023
STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
While direction of arrival (DOA) of sound events is generally estimated ...
share
research
∙
05/24/2023
Iteratively Improving Speech Recognition and Voice Conversion
Many existing works on voice conversion (VC) tasks use automatic speech ...
research
∙
05/13/2023
The Whole Is Greater than the Sum of Its Parts: Improving DNN-based Music Source Separation
This paper presents the crossing scheme (X-scheme) for improving the per...
research
∙
02/27/2023
Cross-modal Face- and Voice-style Transfer
Image-to-image translation and voice conversion enable the generation of...
research
∙
02/21/2023
Nonparallel Emotional Voice Conversion For Unseen Speaker-Emotion Pairs Using Dual Domain Adversarial Network Virtual Domain Pairing
Primary goal of an emotional voice conversion (EVC) system is to convert...
research
∙
12/14/2022
CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled Videos
Recent years have seen progress beyond domain-specific sound separation ...
research
∙
10/20/2022
Robust One-Shot Singing Voice Conversion
Many existing works on singing voice conversion (SVC) require clean reco...
research
∙
10/14/2022
Hierarchical Diffusion Models for Singing Voice Neural Vocoder
Recent progress in deep generative models has improved the quality of ne...
research
∙
10/11/2022
DiffRoll: Diffusion-based Generative Music Transcription with Unsupervised Pretraining Capability
In this paper we propose a novel generative approach, DiffRoll, to tackl...
research
∙
08/26/2022
Leveraging Symmetrical Convolutional Transformer Networks for Speech to Singing Voice Style Transfer
In this paper, we propose a model to perform style transfer of speech to...
research
∙
06/04/2022
STARSS22: A dataset of spatial recordings of real scenes with spatiotemporal annotations of sound events
This report presents the Sony-TAu Realistic Spatial Soundscapes 2022 (ST...
research
∙
10/14/2021
Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training
Sound event localization and detection (SELD) involves identifying the d...
research
∙
10/13/2021
Spatial Data Augmentation with Simulated Room Impulse Responses for Sound Event Localization and Detection
Recording and annotating real sound events for a sound event localizatio...
research
∙
10/11/2021
Amicable examples for informed source separation
This paper deals with the problem of informed source separation (ISS), w...
research
∙
10/11/2021
Source Mixing and Separation Robust Audio Steganography
Audio steganography aims at concealing secret information in carrier aud...
research
∙
06/21/2021
Ensemble of ACCDOA- and EINV2-based Systems with D3Nets and Impulse Response Simulation for Sound Event Localization and Detection
This report describes our systems submitted to the DCASE2021 challenge t...
research
∙
02/17/2021
End-to-end lyrics Recognition with Voice to Singing Style Transfer
Automatic transcription of monophonic/polyphonic music is a challenging ...
research
∙
01/18/2021
Hierarchical disentangled representation learning for singing voice conversion
Conventional singing voice conversion (SVC) methods often suffer from op...
research
∙
11/21/2020
Densely connected multidilated convolutional networks for dense prediction tasks
Tasks that involve high-resolution dense prediction require a modeling o...
research
∙
10/29/2020
ACCDOA: Activity-Coupled Cartesian Direction of Arrival Representation for Sound Event Localization and Detection
Neural-network (NN)-based methods show high performance in sound event l...
research
∙
10/07/2020
Adversarial attacks on audio source separation
Despite the excellent performance of neural-network-based audio source s...
research
∙
10/05/2020
D3Net: Densely connected multidilated DenseNet for music source separation
Music source separation involves a large input field to model a long-ter...
research
∙
06/22/2020
Sound Event Localization and Detection Using Activity-Coupled Cartesian DOA Vector and RD3net
Our systems submitted to the DCASE2020 task 3: Sound Event Localization ...
research
∙
11/29/2019
Improving Voice Separation by Incorporating End-to-end Speech Recognition
Despite recent advances in voice separation methods, many challenges rem...
research
∙
04/05/2019
Recursive speech separation for unknown number of speakers
In this paper we propose a method of single-channel speaker-independent ...
research
∙
05/07/2018
MMDenseLSTM: An efficient combination of convolutional and recurrent neural networks for audio source separation
Deep neural networks have become an indispensable technique for audio so...
research
∙
06/29/2017
Multi-scale Multi-band DenseNets for Audio Source Separation
This paper deals with the problem of audio source separation. To handle ...
research
∙
01/03/2017
AENet: Learning Deep Audio Features for Video Analysis
We propose a new deep network for audio event recognition, called AENet....
research
∙
06/15/2016
