57 citations · 384 across the 43 of their papers we have counts for
7 papers · 1 filter
Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging
Zhiling Zhang, Zelin Zhou, Haifeng Tang +3
Audio tagging aims at predicting sound events occurred in a recording. Traditional models require enormous laborious annotations, otherwise performance degeneration will be the nor…
Can Audio Captions Be Evaluated with Image Caption Metrics?
Zelin Zhou, Zhiling Zhang, Xuenan Xu +3
Automated audio captioning aims at generating textual descriptions for an audio clip. To evaluate the quality of generated audio captions, previous works directly adopt image capti…
Decoupled Dialogue Modeling and Semantic Parsing for Multi-Turn Text-to-SQL
Zhi Chen, Lu Chen, Hanqi Li +4
Recently, Text-to-SQL for multi-turn dialogue has attracted great interest. Here, the user input of the current turn is parsed into the corresponding SQL query of the appropriate d…
Voice activity detection in the wild: A data-driven approach using teacher-student training
Heinrich Dinkel, Shuai Wang, Xuenan Xu +2
Voice activity detection is an essential pre-processing component for speech-related tasks such as automatic speech recognition (ASR). Traditional supervised VAD systems obtain fra…
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…