Sven Ahlbäck

According to our database, Sven Ahlbäck authored at least 8 papers between 2019 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2022

Polyphonic pitch detection with convolutional recurrent neural networks.

Carl Thomé, Sven Ahlbäck

CoRR, 2022

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

Pitch-Informed Instrument Assignment using a Deep Convolutional Network with Multiple Kernel Shapes.

Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription.

Emir Demirel, Sven Ahlbäck, Simon Dixon

Proceedings of the 22nd International Society for Music Information Retrieval Conference, 2021

Low Resource Audio-To-Lyrics Alignment from Polyphonic Music Recordings.

Emir Demirel, Sven Ahlbäck, Simon Dixon

Proceedings of the IEEE International Conference on Acoustics, 2021

Computational Pronunciation Analysis in Sung Utterances.

Emir Demirel, Sven Ahlbäck, Simon Dixon

Proceedings of the 29th European Signal Processing Conference, 2021

2020

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

Emir Demirel, Sven Ahlbäck, Simon Dixon

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Investigating Kernel Shapes and Skip Connections for Deep Learning-Based Harmonic-Percussive Separation.

Carlos Lordelo, Emmanouil Benetos, Simon Dixon, Sven Ahlbäck

Proceedings of the 2019 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, 2019