Search Results for author:
Found 13 papers, 10 papers with code
PSELDNets: Pre-trained Neural Networks on Large-scale Synthetic Datasets for Sound Event Localization and Detection
Recently, deep neural networks trained on large-scale datasets have achieved remarkable success in the sound event classification (SEC) field, prompting an open question of whether these advancements can be extended to develop general-purpose SELD models.
Direction of Arrival Estimation
Sound Event Localization and Detection
Text-Queried Target Sound Event Localization
Sound event localization and detection (SELD) aims to determine the appearance of sound classes, together with their Direction of Arrival (DOA).
Room Impulse Response (RIR)
Sound Event Localization and Detection
+1
Towards Out-of-Distribution Detection in Vocoder Recognition via Latent Feature Reconstruction
To enhance the distinctiveness of the reconstructed features by each decoder, we incorporate contrastive learning and an auxiliary classifier to further constrain the reconstructed feature.
WavCraft: Audio Editing and Generation with Large Language Models
We introduce WavCraft, a collective system that leverages large language models (LLMs) to connect diverse task-specific models for audio content creation and editing.
Selective-Memory Meta-Learning with Environment Representations for Sound Event Localization and Detection
In addition, we introduce environment representations to characterize different acoustic settings, enhancing the adaptability of our attenuation approach to various environments.
META-SELD: Meta-Learning for Fast Adaptation to the new environment in Sound Event Localization and Detection
For learning-based sound event localization and detection (SELD) methods, different acoustic environments in the training and test sets may result in large performance differences in the validation and evaluation stages.
WavJourney: Compositional Audio Creation with Large Language Models
Subjective evaluations demonstrate the potential of WavJourney in crafting engaging storytelling audio content from text.
Sound Event Localization and Detection for Real Spatial Sound Scenes: Event-Independent Network and Data Augmentation Chains
Our system submitted to the DCASE 2022 Task 3 is based on our previous proposed Event-Independent Network V2 (EINV2) with a novel data augmentation method.
ARCA23K: An audio dataset for investigating open-set label noise
We show that the majority of labelling errors in ARCA23K are due to out-of-vocabulary audio clips, and we refer to this type of label noise as open-set label noise.
An Improved Event-Independent Network for Polyphonic Sound Event Localization and Detection
Polyphonic sound event localization and detection (SELD), which jointly performs sound event detection (SED) and direction-of-arrival (DoA) estimation, detects the type and occurrence time of sound events as well as their corresponding DoA angles simultaneously.
Sound Audio and Speech Processing
Event-Independent Network for Polyphonic Sound Event Localization and Detection
In this paper, a novel event-independent network for polyphonic sound event localization and detection is proposed.
Audio and Speech Processing Sound
Learning with Out-of-Distribution Data for Audio Classification
The proposed method uses an auxiliary classifier, trained on data that is known to be in-distribution, for detection and relabelling.
Polyphonic Sound Event Detection and Localization using a Two-Stage Strategy
In this paper, it is experimentally shown that the training information of SED is able to contribute to the direction of arrival estimation (DOAE).
Sound Audio and Speech Processing
