Search Results for author:
Found 10 papers, 6 papers with code
Contrastive Learning for Cross-modal Artist Retrieval
We demonstrate our method successfully combines complementary information from diverse modalities, and is more robust to missing modality data (i. e., it better handles the retrieval of artists with different modality embeddings than the query artist's).
Supervised and Unsupervised Learning of Audio Representations for Music Understanding
We find that restricting the domain of the pre-training dataset to music allows for training with smaller batch sizes while achieving state-of-the-art in unsupervised learning -- and in some cases, supervised learning -- for music understanding.
Artist Similarity with Graph Neural Networks
Artist similarity plays an important role in organizing, understanding, and subsequently, facilitating discovery in large collections of music.
Bootstrapping a Music Voice Assistant with Weak Supervision
One of the first building blocks to create a voice assistant relates to the task of tagging entities or attributes in user queries.
Multimodal Metric Learning for Tag-based Music Retrieval
In this paper, we investigate three ideas to successfully introduce multimodal metric learning for tag-based music retrieval: elaborate triplet sampling, acoustic and cultural music information, and domain-specific word embeddings.
Mood Classification Using Listening Data
The mood of a song is a highly relevant feature for exploration and recommendation in large collections of music.
Natural Language Processing for Music Knowledge Discovery
Today, a massive amount of musical knowledge is stored in written form, with testimonies dated as far back as several centuries ago.
SemEval-2018 Task 9: Hypernym Discovery
This paper describes the SemEval 2018 Shared Task on Hypernym Discovery.
A Deep Multimodal Approach for Cold-start Music Recommendation
Second, track embeddings are learned from the audio signal and available feedback data.
ELMD: An Automatically Generated Entity Linking Gold Standard Dataset in the Music Domain
In this paper we present a gold standard dataset for Entity Linking (EL) in the Music Domain.
