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Found 32 papers, 12 papers with code
Unsupervised learning based end-to-end delayless generative fixed-filter active noise control
Delayless noise control is achieved by our earlier generative fixed-filter active noise control (GFANC) framework through efficient coordination between the co-processor and real-time controller.
Description on IEEE ICME 2024 Grand Challenge: Semi-supervised Acoustic Scene Classification under Domain Shift
In addition, considering the abundance of unlabeled acoustic scene data in the real world, it is important to study the possible ways to utilize these unlabelled data.
Sub-band and Full-band Interactive U-Net with DPRNN for Demixing Cross-talk Stereo Music
This paper presents a detailed description of our proposed methods for the ICASSP 2024 Cadenza Challenge.
Interactive Dual-Conformer with Scene-Inspired Mask for Soft Sound Event Detection
In this paper, we first propose an interactive dual-conformer (IDC) module, in which a cross-interaction mechanism is applied to effectively exploit the information from soft labels.
AudioLog: LLMs-Powered Long Audio Logging with Hybrid Token-Semantic Contrastive Learning
This paper presents AudioLog, a large language models (LLMs)-powered audio logging system with hybrid token-semantic contrastive learning.
Partially Randomizing Transformer Weights for Dialogue Response Diversity
Despite recent progress in generative open-domain dialogue, the issue of low response diversity persists.
An Empirical Bayes Framework for Open-Domain Dialogue Generation
To engage human users in meaningful conversation, open-domain dialogue agents are required to generate diverse and contextually coherent dialogue.
Preliminary investigation of the short-term in situ performance of an automatic masker selection system
Soundscape augmentation or "masking" introduces wanted sounds into the acoustic environment to improve acoustic comfort.
Active Noise Control based on the Momentum Multichannel Normalized Filtered-x Least Mean Square Algorithm
Multichannel active noise control (MCANC) is widely utilized to achieve significant noise cancellation area in the complicated acoustic field.
Practical Active Noise Control: Restriction of Maximum Output Power
This paper presents some recent algorithms developed by the authors for real-time adaptive active noise (AANC) control systems.
Anti-noise window: Subjective perception of active noise reduction and effect of informational masking
Reviving natural ventilation (NV) for urban sustainability presents challenges for indoor acoustic comfort.
A Computation-efficient Online Secondary Path Modeling Technique for Modified FXLMS Algorithm
This paper proposes an online secondary path modelling (SPM) technique to improve the performance of the modified filtered reference Least Mean Square (FXLMS) algorithm.
MOV-Modified-FxLMS algorithm with Variable Penalty Factor in a Practical Power Output Constrained Active Control System
Practical Active Noise Control (ANC) systems typically require a restriction in their maximum output power, to prevent overdriving the loudspeaker and causing system instability.
Active Noise Control in The New Century: The Role and Prospect of Signal Processing
Since Paul Leug's 1933 patent application for a system for the active control of sound, the field of active noise control (ANC) has not flourished until the advent of digital signal processors forty years ago.
Real-time modelling of observation filter in the Remote Microphone Technique for an Active Noise Control application
The remote microphone technique (RMT) is often used in active noise control (ANC) applications to overcome design constraints in microphone placements by estimating the acoustic pressure at inconvenient locations using a pre-calibrated observation filter (OF), albeit limited to stationary primary acoustic fields.
Implementing Continuous HRTF Measurement in Near-Field
Hence, a significant number of HRTF measurements at different distances in the NF would be needed.
A Momentum Two-gradient Direction Algorithm with Variable Step Size Applied to Solve Practical Output Constraint Issue for Active Noise Control
Active noise control (ANC) has been widely utilized to reduce unwanted environmental noise.
A practical distributed active noise control algorithm overcoming communication restrictions
By assigning the massive computing tasks of the traditional multichannel active noise control (MCANC) system to several distributed control nodes, distributed multichannel active noise control (DMCANC) techniques have become effective global noise reduction solutions with low computational costs.
Deep Generative Fixed-filter Active Noise Control
Due to the slow convergence and poor tracking ability, conventional LMS-based adaptive algorithms are less capable of handling dynamic noises.
Performance Evaluation of Selective Fixed-filter Active Noise Control based on Different Convolutional Neural Networks
In comparison to conventional fixed-filter ANC methods, SFANC can select the pre-trained control filters for different types of noise.
A Hybrid SFANC-FxNLMS Algorithm for Active Noise Control based on Deep Learning
Owing to the effective combination of the two algorithms, experimental results show that the hybrid SFANC-FxNLMS algorithm can achieve a rapid response time, a low noise reduction error, and a high degree of robustness.
Implementation of Multi-channel Active Noise Control based on Back-propagation Mechanism
However, open-source implementations of the multi-channel FxLMS (McFxLMS) and multi-channel FxNLMS (McFxNLMS) algorithm continue to be scarce.
Assessment of a cost-effective headphone calibration procedure for soundscape evaluations
To increase the availability and adoption of the soundscape standard, a low-cost calibration procedure for reproduction of audio stimuli over headphones was proposed as part of the global ``Soundscape Attributes Translation Project'' (SATP) for validating ISO/TS~12913-2:2018 perceived affective quality (PAQ) attribute translations.
Do uHear? Validation of uHear App for Preliminary Screening of Hearing Ability in Soundscape Studies
Hence, in this study, we investigate the effectiveness of the uHear app, an iOS application, as an affordable and automatic alternative to a conventional audiometer in screening participants for hearing loss for the purpose of soundscape studies or listening tests in general.
Singapore Soundscape Site Selection Survey (S5): Identification of Characteristic Soundscapes of Singapore via Weighted k-means Clustering
We then performed weighted k-means clustering on the selected locations, with weights for each location derived from previous frequencies and durations spent in each location by each participant.
Preliminary assessment of a cost-effective headphone calibration procedure for soundscape evaluations
Preliminary experiments found that calibration with the OCV method differed significantly from the reference binaural recordings in sound pressure levels, whereas negligible differences in levels were observed with the HATS calibration.
Deployment of an IoT System for Adaptive In-Situ Soundscape Augmentation
Soundscape augmentation is an emerging approach for noise mitigation by introducing additional sounds known as "maskers" to increase acoustic comfort.
Autonomous In-Situ Soundscape Augmentation via Joint Selection of Masker and Gain
The selection of maskers and playback gain levels in a soundscape augmentation system is crucial to its effectiveness in improving the overall acoustic comfort of a given environment.
SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays
In this work, we introduce SALSA-Lite, a fast and effective feature for polyphonic SELD using microphone array inputs.
Design and Evaluation of Active Noise Control on Machinery Noise
Construction workers and residents live near around construction sites are exposed to noises that might cause hearing loss, high blood pressure, heart disease, sleep disturbance and stress.
End-to-End Complex-Valued Multidilated Convolutional Neural Network for Joint Acoustic Echo Cancellation and Noise Suppression
We also propose a dual-mask technique for joint echo and noise suppression with simultaneous speech enhancement.
SALSA: Spatial Cue-Augmented Log-Spectrogram Features for Polyphonic Sound Event Localization and Detection
Sound event localization and detection (SELD) consists of two subtasks, which are sound event detection and direction-of-arrival estimation.
