Language-based audio retrieval is a task, where natural language textual captions are used
as queries to retrieve audio signals from a dataset. It has been first introduced into DCASE …

Audio-Text retrieval takes a natural language query to retrieve relevant audio files in a
database. Conversely, Text-Audio retrieval takes an audio file as a query to retrieve relevant …

The objectives of this work are cross-modal text-audio and audio-text retrieval, in which the
goal is to retrieve the audio content from a pool of candidates that best matches a given …

This technical report presents a language-based audio retrieval system that we submitted to
Detection and Classification of Acoustic Scenes and Events (DCASE) Challenge 2022 Task …

This technical report provides a concise overview of our systems submitted to the DCASE
Challenge 2023 for tasks 6a,” Automated Audio Captioning”(AAC), and 6b,” Language …

We consider the task of retrieving audio using free-form natural language queries. To study
this problem, which has received limited attention in the existing literature, we introduce …

This paper presents the automated audio captioning model for participating in the detection
and classification of acoustic scenes and events 2023 challenge task 6A. The model …

This technical report describes the system participating to the Detection and Classification of
Acoustic Scenes and Events (DCASE) 2021 Challenge, Task 6: automated audio …

Audio captioning is a multi-modal task, focusing on generating a natural sentence to
describe the content in an audio clip. This paper proposes a solution of automated audio …

Automated Audio Captioning is a cross-modal task, generating natural language
descriptions to summarize the audio clips' sound events. However, grounding the actual …