1 citations · 1 across the 4 of their papers we have counts for
4 papers
Hierarchical Label Propagation: A Model-Size-Dependent Performance Booster for AudioSet Tagging
Ludovic Tuncay, Etienne Labbé, Thomas Pellegrini
AudioSet is one of the most used and largest datasets in audio tagging, containing about 2 million audio samples that are manually labeled with 527 event categories organized into…
Multilingual Audio Captioning using machine translated data
Matéo Cousin, Étienne Labbé, Thomas Pellegrini
Automated Audio Captioning (AAC) systems attempt to generate a natural language sentence, a caption, that describes the content of an audio recording, in terms of sound events. Exi…
CoNeTTE: An efficient Audio Captioning system leveraging multiple datasets with Task Embedding
Étienne Labbé, Thomas Pellegrini, Julien Pinquier
Automated Audio Captioning (AAC) involves generating natural language descriptions of audio content, using encoder-decoder architectures. An audio encoder produces audio embeddings…
Killing two birds with one stone: Can an audio captioning system also be used for audio-text retrieval?
Etienne Labbé, Thomas Pellegrini, Julien Pinquier
Automated Audio Captioning (AAC) aims to develop systems capable of describing an audio recording using a textual sentence. In contrast, Audio-Text Retrieval (ATR) systems seek to…