Dr.-Ing. Jakob Abeßer

International Audio Laboratories Erlangen (AudioLabs)

How Robust are Audio Embeddings for Polyphonic Sound Event Tagging? (2023) Abeßer J, Grollmisch S, Müller M Journal article Fundamental Frequency Contour Classification: A Comparison Between Hand-Crafted And Cnn-Based Features (2019) Abeßer J, Müller M Conference contribution Cross-Version Singing Voice Detection in Opera Recordings: Challenges for Supervised Learning (2019) Mimilakis SI, Weiß C, Arifi-Müller V, Abeßer J, Müller M Conference contribution Towards Improving CNN-Based Cross-Dataset Instrument Family Recognition In Classical Music (2019) Tänzer M, Abeßer J, Mimilakis SI, Weiß C, Lukashevich HM, Müller M Conference contribution Bridging the Gap: Enriching YouTube Videos with Jazz Music Annotations (2018) Balke S, Dittmar C, Abeßer J, Frieler K, Pfleiderer M, Müller M Journal article Improving Bass Saliency Estimation using Transfer Learning and Label Propagation (2018) Abeßer J, Balke S, Müller M Conference contribution Computational Corpus Analysis: A Case Study on Jazz Solos (2018) Weiß C, Balke S, Abeßer J, Müller M Conference contribution Deep Learning for Jazz Walking Bass Transcription (2017) Abeßer J, Balke S, Frieler K, Pfleiderer M, Müller M Conference contribution Data-Driven Solo Voice Enhancement for Jazz Music Retrieval (2017) Balke S, Dittmar C, Abeßer J, Müller M Conference contribution Towards Evaluating Multiple Predominant Melody Annotations in Jazz Recordings (2016) Balke S, Abeßer J, Driedger J, Dittmar C, Müller M Conference contribution