Investigating Kernel Shapes and Skip Connections for Deep Learning-Based Harmonic-Percussive Separation. - Carlos Lordelo; Emmanouil Benetos; Simon Dixon; Sven Ahlbäck (WASPAA, 2019)

Automatic Lyrics Transcription using Dilated Convolutional Neural Networks with Self-Attention. - Emir Demirel; Sven Ahlbäck; Simon Dixon (IJCNN, 2020)

Tap & Fiddle: a Dataset with Scandinavian Fiddle Tunes with Accompanying Foot-Tapping. - Carlos Lordelo; Sven Ahlbäck; Emmanouil Benetos; Simon Dixon; Patrik Ohlsson (Zenodo, 2020)

Computational Pronunciation Analysis in Sung Utterances. - Emir Demirel; Sven Ahlbäck; Simon Dixon (EUSIPCO, 2021)

Low Resource Audio-To-Lyrics Alignment from Polyphonic Music Recordings. - Emir Demirel; Sven Ahlbäck; Simon Dixon (ICASSP, 2021)

MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription. - Emir Demirel; Sven Ahlbäck; Simon Dixon (ISMIR, 2021)

Pitch-Informed Instrument Assignment using a Deep Convolutional Network with Multiple Kernel Shapes. - Carlos Lordelo; Emmanouil Benetos; Simon Dixon; Sven Ahlbäck (ISMIR, 2021)

Adversarial Unsupervised Domain Adaptation for Harmonic-Percussive Source Separation. - Carlos Lordelo; Emmanouil Benetos; Simon Dixon; Sven Ahlbäck; Patrik Ohlsson (IEEE Signal Process. Lett., 2021)

Polyphonic pitch detection with convolutional recurrent neural networks. - Carl Thomé; Sven Ahlbäck (CoRR, 2022)