← Search

Jakob Abeßer

3 accepted papers

2019

Fundamental Frequency Contour Classification: A Comparison between Hand-crafted and CNN-based Features

ICASSP 2019accepted

In this paper, we evaluate hand-crafted features as well as features learned from data using a convolutional neural network (CNN) for different fundamental frequency classification tasks. We compare classification based on full (variable-length) contours and classification based on fixed-sized subco…

Cited by 0SourceScholar
2017

Data-driven solo voice enhancement for jazz music retrieval

ICASSP 2017accepted

Retrieving short monophonic queries in music recordings is a challenging research problem in Music Information Retrieval (MIR). In jazz music, given a solo transcription, one retrieval task is to find the corresponding (potentially polyphonic) recording in a music collection. Many conventional syste…

Cited by 0SourceScholar
2015

Parameter extraction for bass guitar sound models including playing styles

ICASSP 2015accepted

We present a system to realistically model the sound of bass guitars, and how to estimate the corresponding parameters from the sound of a bass guitar alone, without other physical measurements. Our model includes plucking and expression styles of the musician, like vibrato or bending, and the strin…

Cited by 0SourceScholar