4 papers
DExter: Learning and Controlling Performance Expression with Diffusion Models
Huan Zhang, Shreyan Chowdhury, Carlos Eduardo Cancino-Chacón +3
In the pursuit of developing expressive music performance models using artificial intelligence, this paper introduces DExter, a new approach leveraging diffusion probabilistic mode…
Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings
Shreyan Chowdhury, Gerhard Widmer
This paper explores a specific sub-task of cross-modal music retrieval. We consider the delicate task of retrieving a performance or rendition of a musical piece based on a descrip…
Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance
Silvan David Peter, Shreyan Chowdhury, Carlos Eduardo Cancino-Chacón +1
Semantic embeddings play a crucial role in natural language-based information retrieval. Embedding models represent words and contexts as vectors whose spatial configuration is der…
Decoding and Visualising Intended Emotion in an Expressive Piano Performance
Shreyan Chowdhury, Gerhard Widmer
Expert musicians can mould a musical piece to convey specific emotions that they intend to communicate. In this paper, we place a mid-level features based music emotion model in th…