4 citations · 4 across the 3 of their papers we have counts for
5 papers
Language-based Audio Retrieval Task in DCASE 2022 Challenge
Huang Xie, Samuel Lipping, Tuomas Virtanen
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 DC…
Language-based Audio Retrieval Task in DCASE 2022 Challenge
Huang Xie, Samuel Lipping, Tuomas Virtanen
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 DC…
Clotho-AQA: A Crowdsourced Dataset for Audio Question Answering
Samuel Lipping, Parthasaarathy Sudarsanam, Konstantinos Drossos +1
Audio question answering (AQA) is a multimodal translation task where a system analyzes an audio signal and a natural language question, to generate a desirable natural language an…
Clotho: An Audio Captioning Dataset
Konstantinos Drossos, Samuel Lipping, Tuomas Virtanen
Audio captioning is the novel task of general audio content description using free text. It is an intermodal translation task (not speech-to-text), where a system accepts as an inp…
Crowdsourcing a Dataset of Audio Captions
Samuel Lipping, Konstantinos Drossos, Tuomas Virtanen
Audio captioning is a novel field of multi-modal translation and it is the task of creating a textual description of the content of an audio signal (e.g. "people talking in a big r…