Traditional speaker diarization seeks to detect``who spoke when''according to speaker
characteristics. Extending to target speech diarization, we detect``when target event …

The task of retrieving audio content relevant to lyric queries and vice versa plays a critical
role in music-oriented applications. In this process, robust feature representations have to be …

In this study, we introduce a novel cross-modal retrieval task involving speaker descriptions
and their corresponding audio samples. Utilizing pre-trained speaker and text encoders, we …

Audio-text retrieval (ATR), which retrieves a relevant caption given an audio clip (A2T) and
vice versa (T2A), has recently attracted much research attention. Existing methods typically …

The goal of cross-modal audio-text retrieval is to retrieve the target audio clips (textual
descriptions), which should be relevant to a given textual (audial) query. It is a challenging …

Cross-modal retrieval involves retrieving information across diverse modalities, like image-
text, image-audio and audio-text. It finds application in multimedia search engines …

Sound is rich in information and thus crucial to computational perception. Machine listening
systems aim to recreate human perception and reasoning of sound. However, most state-of …