General audio representation

We are pleased to announce that our paper “Assessing the Utility of Audio Foundation Models for Heart and Respiratory Sound Analysis” by Daisuke Niizumi, Daiki Takeuchi, Masahiro Yasuda, Binh Thien Nguyen, Yasunori Ohishi, and Noboru Harada has been accepted to EMBC 2025.

We are pleased to announce that our paper “M2D-CLAP: Masked Modeling Duo Meets CLAP for Learning General-purpose Audio-Language Representation” by Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, Masahiro Yasuda, Shunsuke Tsubaki, and Keisuke Imoto has been accepted to Interspeech 2024.

We are pleased to announce that our paper “Masked Modeling Duo for Speech: Specializing General-Purpose Audio Representation to Speech using Denoising Distillation” by Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, and Kunio Kashino has been accepted to Interspeech 2023.

We are pleased to announce that our paper “Masked Modeling DUO: Learning Representations by Encouraging both Networks to Model the Input” by Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, and Kunio Kashino has been accepted to ICASSP 2023.

We are pleased to announce that our paper “BYOL for Audio: Exploring Pre-trained General-purpose Audio Representations” by Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, and Kunio Kashino has been accepted for publication in the IEEE Transactions on Audio, Speech and Language Processing.

We are pleased to announce that our paper “Composing General Audio Representation by Fusing Multilayer Features of a Pre-trained Model” by Daisuke Niizumi, Daiki Takeuchi, Yasunori Ohishi, Noboru Harada, and Kunio Kashino has been accepted to EUSIPCO 2022.