research
∙
08/23/2023
CED: Consistent ensemble distillation for audio tagging
Augmentation and knowledge distillation (KD) are well-established techni...
share
research
∙
06/28/2023
Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information
Previously, Target Speaker Extraction (TSE) has yielded outstanding perf...
research
∙
06/25/2023
AV-SepFormer: Cross-Attention SepFormer for Audio-Visual Target Speaker Extraction
Visual information can serve as an effective cue for target speaker extr...
research
∙
05/30/2023
Understanding temporally weakly supervised training: A case study for keyword spotting
The currently most prominent algorithm to train keyword spotting (KWS) m...
research
∙
05/29/2023
Streaming Audio Transformers for Online Audio Tagging
Transformers have emerged as a prominent model framework for audio taggi...
research
∙
03/03/2023
Unified Keyword Spotting and Audio Tagging on Mobile Devices with Transformers
Keyword spotting (KWS) is a core human-machine-interaction front-end tas...
research
∙
09/30/2022
An empirical study of weakly supervised audio tagging embeddings for general audio representations
We study the usability of pre-trained weakly supervised audio tagging (A...
research
∙
09/23/2022
UniKW-AT: Unified Keyword Spotting and Audio Tagging
Within the audio research community and the industry, keyword spotting (...
research
∙
04/28/2022
Pseudo strong labels for large scale weakly supervised audio tagging
Large-scale audio tagging datasets inevitably contain imperfect labels, ...
research
∙
05/10/2021
Voice activity detection in the wild: A data-driven approach using teacher-student training
Voice activity detection is an essential pre-processing component for sp...
research
∙
02/23/2021
Text-to-Audio Grounding: Building Correspondence Between Captions and Sound Events
Automated Audio Captioning is a cross-modal task, generating natural lan...
research
∙
02/23/2021
Investigating Local and Global Information for Automated Audio Captioning with Transfer Learning
Automated audio captioning (AAC) aims at generating summarizing descript...
research
∙
01/19/2021
Towards duration robust weakly supervised sound event detection
Sound event detection (SED) is the task of tagging the absence or presen...
research
∙
07/26/2020
End-to-end spoofing detection with raw waveform CLDNNs
Albeit recent progress in speaker verification generates powerful models...
research
∙
07/13/2020
Multiple Sound Sources Localization from Coarse to Fine
How to visually localize multiple sound sources in unconstrained videos ...
research
∙
03/27/2020
Voice activity detection in the wild via weakly supervised sound event detection
Traditional supervised voice activity detection (VAD) methods work well ...
research
∙
03/27/2020
GPVAD: Towards noise robust voice activity detection via weakly supervised sound event detection
Traditional voice activity detection (VAD) methods work well in clean an...
research
∙
10/29/2019
Depa: Self-supervised audio embedding for depression detection
Depression detection research has increased over the last few decades as...
research
∙
05/31/2019
What does a Car-ssette tape tell?
Captioning has attracted much attention in image and video understanding...
research
∙
04/08/2019
Duration robust sound event detection
Task 4 of the Dcase2018 challenge demonstrated that substantially more r...
research
∙
04/08/2019
Text-based Depression Detection: What Triggers An Alert
Recent advances in automatic depression detection mostly derive from mod...
research
∙
02/25/2019