BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory
Sound Classification

BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification

10 June 2024

Miika Toikkanen

Seoung-Eun Moon

Ho-Young Jung

Papers citing "BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification"

7 / 7 papers shown

Title
Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis Daisuke Niizumi Daiki Takeuchi Masahiro Yasuda Binh Thien Nguyen Yasunori Ohishi N. Harada 27 0 0 25 Apr 2025
RespLLM: Unifying Audio and Text with Multimodal LLMs for Generalized Respiratory Health Prediction Yuwei Zhang Tong Xia Aaqib Saeed Cecilia Mascolo LM&MA 24 3 0 07 Oct 2024
Stethoscope-guided Supervised Contrastive Learning for Cross-domain Adaptation on Respiratory Sound Classification June-Woo Kim Sangmin Bae Won-Yang Cho Byungjo Lee Ho-Young Jung 31 11 0 15 Dec 2023
Pretraining Respiratory Sound Representations using Metadata and Contrastive Learning Ilyass Moummad Nicolas Farrugia 27 17 0 27 Oct 2022
Open Vocabulary Electroencephalography-To-Text Decoding and Zero-shot Sentiment Classification Zhenhailong Wang Heng Ji 84 71 0 05 Dec 2021
Prototype Learning for Interpretable Respiratory Sound Analysis Zhao Ren T. Nguyen Wolfgang Nejdl 70 25 0 07 Oct 2021
Decoding EEG Brain Activity for Multi-Modal Natural Language Processing Nora Hollenstein Cédric Renggli B. Glaus Maria Barrett M. Troendle N. Langer Ce Zhang 57 35 0 17 Feb 2021