67 citations · 216 across the 25 of their papers we have counts for
8 papers · 1 filter
Text-to-Audio Grounding: Building Correspondence Between Captions and Sound Events
Xuenan Xu, Heinrich Dinkel, Mengyue Wu +1
Automated Audio Captioning is a cross-modal task, generating natural language descriptions to summarize the audio clips' sound events. However, grounding the actual sound events in…
Investigating Local and Global Information for Automated Audio Captioning with Transfer Learning
Xuenan Xu, Heinrich Dinkel, Mengyue Wu +2
Automated audio captioning (AAC) aims at generating summarizing descriptions for audio clips. Multitudinous concepts are described in an audio caption, ranging from local informati…
Towards duration robust weakly supervised sound event detection
Heinrich Dinkel, Mengyue Wu, Kai Yu
Sound event detection (SED) is the task of tagging the absence or presence of audio events and their corresponding interval within a given audio clip. While SED can be done using s…
Voice activity detection in the wild via weakly supervised sound event detection
Heinrich Dinkel, Yefei Chen, Mengyue Wu +1
Traditional supervised voice activity detection (VAD) methods work well in clean and controlled scenarios, with performance severely degrading in real-world applications. One possi…
Audio Caption in a Car Setting with a Sentence-Level Loss
Xuenan Xu, Heinrich Dinkel, Mengyue Wu +1
Captioning has attracted much attention in image and video understanding while a small amount of work examines audio captioning. This paper contributes a Mandarin-annotated dataset…
Duration robust weakly supervised sound event detection
Heinrich Dinkel, Kai Yu
Task 4 of the DCASE2018 challenge demonstrated that substantially more research is needed for a real-world application of sound event detection. Analyzing the challenge results it…