Multiple-Embedding Separation Networks: Sound Class-Specific Feature Extraction for Universal Sound Separation. - Hokuto Munakata; Ryu Takeda; Kazunori Komatani (APSIPA ASC, 2021)

Training Data Generation with DOA-based Selecting and Remixing for Unsupervised Training of Deep Separation Models. - Hokuto Munakata; Ryu Takeda; Kazunori Komatani (INTERSPEECH, 2022)

Out-of-Vocabulary Word Detection in Spoken Dialogues Based on Joint Decoding with User Response Patterns. - Miki Oshio; Hokuto Munakata; Ryu Takeda; Kazunori Komatani (APSIPA ASC, 2023)

Recursive Sound Source Separation with Deep Learning-based Beamforming for Unknown Number of Sources. - Hokuto Munakata; Ryu Takeda; Kazunori Komatani (INTERSPEECH, 2023)

Joint Separation and Localization of Moving Sound Sources Based on Neural Full-Rank Spatial Covariance Analysis. - Hokuto Munakata; Yoshiaki Bando; Ryu Takeda; Kazunori Komatani; Masaki Onishi (IEEE Signal Process. Lett., 2023)

Song Data Cleansing for End-to-End Neural Singer Diarization Using Neural Analysis and Synthesis Framework. - Hokuto Munakata; Ryo Terashima; Yusuke Fujita (INTERSPEECH, 2024)

Lighthouse: A User-Friendly Library for Reproducible Video Moment Retrieval and Highlight Detection. - Taichi Nishimura; Shota Nakada; Hokuto Munakata; Tatsuya Komatsu (CoRR, 2024)

Aligned Contrastive Learning for Text-to-Music Retrieval. - Tatsuya Komatsu; Hokuto Munakata; Takuya Hasumi; Yusuke Fujita (ICASSP, 2025)

Language-based Audio Moment Retrieval. - Hokuto Munakata; Taichi Nishimura; Shota Nakada; Tatsuya Komatsu (ICASSP, 2025)

DETECLAP: Enhancing Audio-Visual Representation Learning with Object Information. - Shota Nakada; Taichi Nishimura; Hokuto Munakata; Masayoshi Kondo; Tatsuya Komatsu (ICASSP, 2025)

Language-Guided Contrastive Audio-Visual Masked Autoencoder with Automatically Generated Audio-Visual-Text Triplets from Videos. - Yuchi Ishikawa; Shota Nakada; Hokuto Munakata; Kazuhiro Saito; Tatsuya Komatsu; Yoshimitsu Aoki (CoRR, 2025)