Computational ecoacoustics has seen significant growth in recent decades, facilitated by the
reduced costs of digital sound recording devices and data storage. This progress has …

Text-to-music generation models are now capable of generating high-quality music audio in
broad styles. However, text control is primarily suitable for the manipulation of global musical …

We introduce pyannote. audio, an open-source toolkit written in Python for speaker
diarization. Based on PyTorch machine learning framework, it provides a set of trainable end …

Generating conversational gestures from speech audio is challenging due to the inherent
one-to-many map** between audio and body motions. Conventional CNNs/RNNs …

Emotion is a vital component in daily human communication and it helps people understand
each other. Emotion recognition plays a crucial role in develo** human-computer …

Music has a close relationship with people's emotion and mental status. Music
recommendation has both economic and social benefits. Unfortunately, most existing music …

Speech emotion recognition (SER) plays a crucial role in improving the quality of man–
machine interfaces in various fields like distance learning, medical science, virtual …

Assessing the severity level of dysarthria can provide an insight into the patient's
improvement, assist pathologists to plan therapy, and aid automatic dysarthric speech …

This paper presents the Coswara dataset, a dataset containing diverse set of respiratory
sounds and rich meta-data, recorded between April-2020 and February-2022 from 2635 …

Music information retrieval (MIR) has witnessed rapid advances in various tasks like musical
similarity, music genre classification (MGC), etc. MGC and audio tagging are approached …