activity
20202022
collaborators

5 papers

cs.SD2022

Deep Embeddings for Robust User-Based Amateur Vocal Percussion Classification

Alejandro Delgado, Emir Demirel, Vinod Subramanian +2

Vocal Percussion Transcription (VPT) is concerned with the automatic detection and classification of vocal percussion sound events, allowing music creators and producers to sketch…

cs.SD2021

MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription

Emir Demirel, Sven Ahlbäck, Simon Dixon

This paper makes several contributions to automatic lyrics transcription (ALT) research. Our main contribution is a novel variant of the Multistreaming Time-Delay Neural Network (M…

cs.IR2021

Computational Pronunciation Analysis in Sung Utterances

Emir Demirel, Sven Ahlback, Simon Dixon

Recent automatic lyrics transcription (ALT) approaches focus on building stronger acoustic models or in-domain language models, while the pronunciation aspect is seldom touched upo…

cs.SD2021

Low Resource Audio-to-Lyrics Alignment From Polyphonic Music Recordings

Emir Demirel, Sven Ahlbäck, Simon Dixon

Lyrics alignment in long music recordings can be memory exhaustive when performed in a single pass. In this study, we present a novel method that performs audio-to-lyrics alignment…

eess.AS2020

Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention

Emir Demirel, Sven Ahlback, Simon Dixon

Speech recognition is a well developed research field so that the current state of the art systems are being used in many applications in the software industry, yet as by today, th…