Audio-visual signals can be used jointly for robotic perception as they complement each
other. Such multi-modal sensory fusion has a clear advantage, especially under noisy …

Automatic speech recognition (ASR) has progressed significantly in recent years due to the
emergence of large-scale datasets and the self-supervised learning (SSL) paradigm …

We introduce LyricWhiz, a robust, multilingual, and zero-shot automatic lyrics transcription
method achieving state-of-the-art performance on various lyrics transcription datasets, even …

Most sentence embedding techniques heavily rely on expensive human-annotated
sentence pairs as the supervised signals. Despite the use of large-scale unlabeled data, the …

In real-world scenarios, new audio classes with insufficient samples usually emerge
continually, which motivates the study of few-shot class-incremental audio classification …

Audio and visual signals complement each other in human speech perception, and the
same applies to automatic speech recognition. The visual signal is less evident than the …

Despite much success in natural language processing (NLP), pre-trained language models
typically lead to a high computational cost during inference. Multi-exit is a mainstream …

This paper introduces the Wagner Ring Dataset (WRD), a multi-modal and multi-version
resource on the large-scale opera cycle Der Ring des Nibelungen by Richard Wagner. The …

Lyrics transcription of polyphonic music is challenging as the background music affects lyrics
intelligibility. Typically, lyrics transcription can be performed by a two-step pipeline, ie a …

It is widely known that males and females typically possess different sound characteristics
when singing, such as timbre and pitch, but it has never been explored whether these …