Compute and Memory Efficient Universal Sound Source Separation [PDF]
Journal of Signal Processing Systems, 2021 Accepted to Journal of Signal Processing Systems https://www.springer.com/journal/11265.
Efthymios Tzinis +3 more
openaire +2 more sources
Addressing Feature Imbalance in Sound Source Separation
CoRR, 2023 Neural networks often suffer from a feature preference problem, where they tend to overly rely on specific features to solve a task while disregarding other features, even if those neglected features are essential for the task. Feature preference problems have primarily been investigated in classification task.
Jaechang Kim 0001 +4 more
openaire +2 more sources
Joint Sound Source Separation and Speaker Recognition [PDF]
Interspeech 2016, 2016 Non-negative Matrix Factorization (NMF) has already been applied to learn speaker characterizations from single or non-simultaneous speech for speaker recognition applications. It is also known for its good performance in (blind) source separation for simultaneous speech.
Jeroen Zegers, Hugo Van hamme
openaire +2 more sources
Explicit-memory multiresolution adaptive framework for speech and music separation
EURASIP Journal on Audio, Speech, and Music Processing, 2023 The human auditory system employs a number of principles to facilitate the selection of perceptually separated streams from a complex sound mixture. The brain leverages multi-scale redundant representations of the input and uses memory (or priors) to ...
Ashwin Bellur +2 more
doaj +1 more source
Acoustic Imaging-Based UAV Sound Source Separation Technology [PDF]
E3S Web of ConferencesTo address the key technical challenge of accurately separating and localizing noise sources from the propellers of quadrotor UAVs, this paper innovatively proposes an acoustic imaging method based on a 64-channel multi-arm logarithmic spiral array ...
Wang Lingzhi, He Tianlun, Chen Da
doaj +1 more source
Adaptive Speech Separation Based on Beamforming and Frequency Domain-Independent Component Analysis
Applied Sciences, 2020 Voice signals acquired by a microphone array often include considerable noise and mutual interference, seriously degrading the accuracy and speed of speech separation.
Ke Zhang, Yangjie Wei, Dan Wu, Yi Wang
doaj +1 more source
A joint separation-classification model for sound event detection of weakly labelled data [PDF]
, 2018 Source separation (SS) aims to separate individual sources from an audio recording. Sound event detection (SED) aims to detect sound events from an audio recording.
Kong, Qiuqiang +3 more
core +2 more sources
Direction specific ambisonics source separation with end-to-end deep learning
Acta Acustica, 2023 Ambisonics is a scene-based spatial audio format that has several useful features compared to object-based formats, such as efficient whole scene rotation and versatility.
Lluís Francesc +3 more
doaj +1 more source
Towards Robust Multiple Blind Source Localization Using Source Separation and Beamforming
Sensors, 2021 Multiple blind sound source localization is the key technology for a myriad of applications such as robotic navigation and indoor localization. However, existing solutions can only locate a few sound sources simultaneously due to the limitation imposed ...
Henglin Pu +5 more
doaj +1 more source
Acoustic Space Learning for Sound Source Separation and Localization on Binaural Manifolds [PDF]
, 2014 In this paper we address the problems of modeling the acoustic space generated by a full-spectrum sound source and of using the learned model for the localization and separation of multiple sources that simultaneously emit sparse-spectrum sounds.
Deleforge, Antoine +2 more
core +3 more sources