5 papers · 1 filter
Overview and Meta-Analysis of DCASE 2026 Challenge Task 6: Audio Moment Retrieval from Long Audio
Hokuto Munakata, Tatsuya Komatsu, Keisuke Imoto +3
This paper presents an overview of the Detection and Classification of Acoustic Scenes and Events (DCASE) 2026 Challenge Task 6, Audio Moment Retrieval (AMR) from Long Audio. Given…
CASTELLA: Long Audio Dataset with Captions and Temporal Boundaries
Hokuto Munakata, Takehiro Imamura, Taichi Nishimura +1
We introduce CASTELLA, a human-annotated audio benchmark for the task of audio moment retrieval (AMR). Although AMR has various useful potential applications, there is still no est…
ProLAP: Probabilistic Language-Audio Pre-Training
Toranosuke Manabe, Yuchi Ishikawa, Hokuto Munakata +1
Language-audio joint representation learning frameworks typically depend on deterministic embeddings, assuming a one-to-one correspondence between audio and text. In real-world set…
Language-based Audio Moment Retrieval
Hokuto Munakata, Taichi Nishimura, Shota Nakada +1
In this paper, we propose and design a new task called audio moment retrieval (AMR). Unlike conventional language-based audio retrieval tasks that search for short audio clips from…
Song Data Cleansing for End-to-End Neural Singer Diarization Using Neural Analysis and Synthesis Framework
Hokuto Munakata, Ryo Terashima, Yusuke Fujita
We propose a data cleansing method that utilizes a neural analysis and synthesis (NANSY++) framework to train an end-to-end neural diarization model (EEND) for singer diarization.…