Gerhard Widmer

Gerhard Widmer

Johannes Kepler Universität Linz

H-index: 63

Europe-Austria

About Gerhard Widmer

Gerhard Widmer, With an exceptional h-index of 63 and a recent h-index of 40 (since 2020), a distinguished researcher at Johannes Kepler Universität Linz, specializes in the field of Artificial Intelligence, Machine Learning, Sound and Music Computing, Music Information Retrieval, Computational Musicology.

His recent articles reflect a diverse array of research interests and contributions to the field:

Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models

Rethinking data augmentation for adversarial robustness

The Batik-plays-Mozart Corpus: Linking Performance to Score to Musicological Annotations

Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings

Decoding and Visualising Intended Emotion in an Expressive Piano Performance

Discrete Diffusion Probabilistic Models for Symbolic Music Generation

Predicting Music Hierarchies with a Graph-Based Neural Decoder

Towards Robust and Truly Large-Scale Audio-Sheet Music Retrieval

Gerhard Widmer Information

University

Johannes Kepler Universität Linz

Position

Professor of Computer Science

Citations(all)

17983

Citations(since 2020)

6275

Cited By

15693

hIndex(all)

63

hIndex(since 2020)

40

i10Index(all)

270

i10Index(since 2020)

151

Email

University Profile Page

Johannes Kepler Universität Linz

Gerhard Widmer Skills & Research Interests

Artificial Intelligence

Machine Learning

Sound and Music Computing

Music Information Retrieval

Computational Musicology

Top articles of Gerhard Widmer

Title

Journal

Author(s)

Publication Date

Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Florian Schmid

Khaled Koutini

Gerhard Widmer

2024/3/18

Rethinking data augmentation for adversarial robustness

Information Sciences

Hamid Eghbal-zadeh

Werner Zellinger

Maura Pintor

Kathrin Grosse

Khaled Koutini

...

2024/1/1

The Batik-plays-Mozart Corpus: Linking Performance to Score to Musicological Annotations

arXiv preprint arXiv:2309.02399

Patricia Hu

Gerhard Widmer

2023/9/5

Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings

Shreyan Chowdhury

Gerhard Widmer

2023/12/15

Decoding and Visualising Intended Emotion in an Expressive Piano Performance

arXiv preprint arXiv:2303.01875

Shreyan Chowdhury

Gerhard Widmer

2023/3/3

Discrete Diffusion Probabilistic Models for Symbolic Music Generation

Proceedings of the 32nd International Joint Conference on Artificial Intelligence (IJCAI 2023)

Matthias Plasser

Silvan Peter

Gerhard Widmer

2023/5/16

Predicting Music Hierarchies with a Graph-Based Neural Decoder

Proceedings of the International Society for Music Information Retrieval Conference (ISMIR 2023)

Francesco Foscarin

Daniel Harasim

Gerhard Widmer

2023/6/29

Towards Robust and Truly Large-Scale Audio-Sheet Music Retrieval

Luís Carvalho

Gerhard Widmer

2023/8/30

Symbolic Music Representations for Classification Tasks: A Systematic Evaluation

arXiv preprint arXiv:2309.02567

Huan Zhang

Emmanouil Karystinaios

Simon Dixon

Gerhard Widmer

Carlos Eduardo Cancino-Chacón

2023/9/5

Are we describing the same sound? An analysis of word embedding spaces of expressive piano performance

Silvan David Peter

Shreyan Chowdhury

Carlos Eduardo Cancino-Chacón

Gerhard Widmer

2023/12/15

CP-JKU submission to dcase23: Efficient acoustic scene classification with cp-mobile

Florian Schmid

Tobias Morocutti

Shahed Masoudian

Khaled Koutini

Gerhard Widmer

2023/5

Exploring Sampling Techniques for Generating Melodies with a Transformer Language Model

arXiv preprint arXiv:2308.09454

Mathias Rose Bjare

Stefan Lattner

Gerhard Widmer

2023/8/18

Automatic Note-Level Score-to-Performance Alignments in the ASAP Dataset

Transactions of the International Society for Music Information Retrieval

Silvan David Peter

Carlos Eduardo Cancino-Chacón

Francesco Foscarin

Andrew Philip McLeod

Florian Henkel

...

2023/6/26

On Frequency-Wise Normalizations for Better Recording Device Generalization in Audio Spectrogram Transformers

Paul Primus

Gerhard Widmer

2023/9/4

Sounding Out Reconstruction Error-Based Evaluation of Generative Models of Expressive Performance

Silvan David Peter

Carlos Eduardo Cancino-Chacón

Emmanouil Karystinaios

Gerhard Widmer

2023/11/10

Constructing adversarial examples to investigate the plausibility of explanations in deep audio and image classifiers

Neural Computing and Applications

Katharina Hoedt

Verena Praher

Arthur Flexer

Gerhard Widmer

2023/5

Advancing Natural-Language Based Audio Retrieval with PaSST and Large Audio-Caption Data Sets

arXiv preprint arXiv:2308.04258

Paul Primus

Khaled Koutini

Gerhard Widmer

2023/8/8

Self-supervised contrastive learning for robust audio-sheet music retrieval systems

Luis Carvalho

Tobias Washüttl

Gerhard Widmer

2023/6/7

Domain Information Control at Inference Time for Acoustic Scene Classification

Shahed Masoudian

Khaled Koutini

Markus Schedl

Gerhard Widmer

Navid Rekabsaz

2023/9/4

8+ 8= 4: Formalizing Time Units to Handle Symbolic Music Durations

arXiv preprint arXiv:2310.14952

Emmanouil Karystinaios

Francesco Foscarin

Florent Jacquemard

Masahiko Sakai

Satoshi Tojo

...

2023/10/23

See List of Professors in Gerhard Widmer University(Johannes Kepler Universität Linz)

Gerhard Widmer FAQs

What is Gerhard Widmer's h-index at Johannes Kepler Universität Linz?

The h-index of Gerhard Widmer has been 40 since 2020 and 63 in total.

What are Gerhard Widmer's top articles?

The articles with the titles of

Dynamic Convolutional Neural Networks as Efficient Pre-trained Audio Models

Rethinking data augmentation for adversarial robustness

The Batik-plays-Mozart Corpus: Linking Performance to Score to Musicological Annotations

Expressivity-aware Music Performance Retrieval using Mid-level Perceptual Features and Emotion Word Embeddings

Decoding and Visualising Intended Emotion in an Expressive Piano Performance

Discrete Diffusion Probabilistic Models for Symbolic Music Generation

Predicting Music Hierarchies with a Graph-Based Neural Decoder

Towards Robust and Truly Large-Scale Audio-Sheet Music Retrieval

...

are the top articles of Gerhard Widmer at Johannes Kepler Universität Linz.

What are Gerhard Widmer's research interests?

The research interests of Gerhard Widmer are: Artificial Intelligence, Machine Learning, Sound and Music Computing, Music Information Retrieval, Computational Musicology

What is Gerhard Widmer's total number of citations?

Gerhard Widmer has 17,983 citations in total.

What are the co-authors of Gerhard Widmer?

The co-authors of Gerhard Widmer are Xavier Serra, Simon Dixon, Markus Schedl, Stefan Kramer, Peter Knees, Arthur Flexer.

Co-Authors

H-index: 60
Xavier Serra

Xavier Serra

Universidad Pompeu Fabra

H-index: 54
Simon Dixon

Simon Dixon

Queen Mary University of London

H-index: 52
Markus Schedl

Markus Schedl

Johannes Kepler Universität Linz

H-index: 45
Stefan Kramer

Stefan Kramer

Johannes Gutenberg-Universität Mainz

H-index: 31
Peter Knees

Peter Knees

Technische Universität Wien

H-index: 31
Arthur Flexer

Arthur Flexer

Johannes Kepler Universität Linz

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