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Foundation models for music: A survey
In recent years, foundation models (FMs) such as large language models (LLMs) and latent
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …
diffusion models (LDMs) have profoundly impacted diverse sectors, including music. This …
Contrastive audio-language learning for music
As one of the most intuitive interfaces known to humans, natural language has the potential
to mediate many tasks that involve human-computer interaction, especially in application …
to mediate many tasks that involve human-computer interaction, especially in application …
MSCCov19Net: multi-branch deep learning model for COVID-19 detection from cough sounds
Coronavirus has an impact on millions of lives and has been added to the important
pandemics that continue to affect with its variants. Since it is transmitted through the …
pandemics that continue to affect with its variants. Since it is transmitted through the …
Multimodal music information processing and retrieval: Survey and future challenges
Towards improving the performance in various music information processing tasks, recent
studies exploit different modalities able to capture diverse aspects of music. Such modalities …
studies exploit different modalities able to capture diverse aspects of music. Such modalities …
Audio-based musical version identification: Elements and challenges
Creating novel interpretations of existing musical compositions is and has always been an
essential part of musical practice. Before the advent of recorded music, listening to a piece of …
essential part of musical practice. Before the advent of recorded music, listening to a piece of …
[PDF][PDF] Query by Video: Cross-modal Music Retrieval.
B Li, A Kumar - ISMIR, 2019 - academia.edu
Cross-modal retrieval learns the relationship between the two types of data in a common
space so that an input from one modality can retrieve data from a different modality. We …
space so that an input from one modality can retrieve data from a different modality. We …
How blind and visually impaired composers, producers, and songwriters leverage and adapt music technology
Today, music creation software and hardware are central to the workflow of most
professional composers, producers, and songwriters. Music is an aural art form, but it is …
professional composers, producers, and songwriters. Music is an aural art form, but it is …
Cross-modal music-video recommendation: A study of design choices
In this work, we study music/video cross-modal recommendation, ie recommending a music
track for a video or vice versa. We rely on a self-supervised learning paradigm to learn from …
track for a video or vice versa. We rely on a self-supervised learning paradigm to learn from …
[HTML][HTML] Erkomaishvili Dataset: A curated corpus of traditional Georgian vocal music for computational musicology
The analysis of recorded audio material using computational methods has received
increased attention in ethnomusicological research. We present a curated dataset of …
increased attention in ethnomusicological research. We present a curated dataset of …
Learning explicit and implicit dual common subspaces for audio-visual cross-modal retrieval
Audio-visual tracks in video contain rich semantic information with potential in many
applications and research. Since the audio-visual data have inconsistent distributions and …
applications and research. Since the audio-visual data have inconsistent distributions and …