Search Results for author:
Found 7 papers, 3 papers with code
Exploiting Parallel Audio Recordings to Enforce Device Invariance in CNN-based Acoustic Scene Classification
Distribution mismatches between the data seen at training and at application time remain a major challenge in all application areas of machine learning.
Learning Complex Basis Functions for Invariant Representations of Audio
Mapping signals onto complex basis functions learned by the CAE results in a transformation-invariant "magnitude space" and a transformation-variant "phase space".
Learning Soft-Attention Models for Tempo-invariant Audio-Sheet Music Retrieval
Quantitative and qualitative results on synthesized piano data indicate that this attention increases the robustness of the retrieval system by focusing on different parts of the input representation based on the tempo of the audio.
Cross-Modal Music Retrieval and Applications: An Overview of Key Methodologies
There has been a rapid growth of digitally available music data, including audio recordings, digitized images of sheet music, album covers and liner notes, and video clips.
Towards Score Following in Sheet Music Images
This paper addresses the matching of short music audio snippets to the corresponding pixel location in images of sheet music.
On the Potential of Simple Framewise Approaches to Piano Transcription
In an attempt at exploring the limitations of simple approaches to the task of piano transcription (as usually defined in MIR), we conduct an in-depth analysis of neural network-based framewise transcription.
Towards End-to-End Audio-Sheet-Music Retrieval
This paper demonstrates the feasibility of learning to retrieve short snippets of sheet music (images) when given a short query excerpt of music (audio) -- and vice versa --, without any symbolic representation of music or scores.
