4 citations · 5 across the 9 of their papers we have counts for
4 papers · 1 filter
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…
Audio classification with Dilated Convolution with Learnable Spacings
Ismail Khalfaoui-Hassani, Timothée Masquelier, Thomas Pellegrini
Dilated convolution with learnable spacings (DCLS) is a recent convolution method in which the positions of the kernel elements are learned throughout training by backpropagation.…
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…