minimize Header

Peter Meier, M.Eng.

Faculty of Electrical Engineering and Media Technology

Support Staff

Lab Engineer

J 104

0991/3615-590

Bürozeiten

Tuesday - Friday

publications

Sortierung:

Thesis

Peter Meier

Optimierte Signalprogrammierung eines Hörschwellenmesssystems mit Verifizierung durch Hörversuche.

Technische Hochschule Deggendorf Deggendorf

2008 (2008)

Electrical Engineering and Media Technology

Thesis

Peter Meier

Implementierung digitaler Audiofilter zur Anwendung in psychoakustischen Hörversuchssystemen.

Technische Hochschule Deggendorf Deggendorf

2011 (2011)

Electrical Engineering and Media Technology

Contribution

Peter Meier
Gerhard Krump

Eine modulare Hörversuchssteuerung auf Basis von Audio-Plugins.

In: Fortschritte der Akustik - DAGA 2018. 44. Jahrestagung für Akustik pg. 1061-1064

Eds.:
B. Seeber

DEGA Berlin

(2018)

Electrical Engineering and Media Technology

Lecture

Peter Meier
Gerhard Krump

Eine modulare Hörversuchssteuerung auf Basis von Audio-Plugins.

In: DAGA 2018: Fortschritte der Akustik (44. Deutsche Jahrestagung für Akustik)

Technische Universität München München

19.-22.03.2018 (2018)

Electrical Engineering and Media Technology

Contribution

Peter Meier
Gerhard Krump
M. Müller

A Real-Time Beat Tracking System Based on Predominant Local Pulse Information.

In: Proceedings of the 22nd International Society for Music Information Retrieval Conference (Demos and Late Breaking News) [ISMIR2021]. pg. 1-3

(2021)

show abstract

Beat tracking is a central topic within the MIR community and an active area of research [1–3]. The scientific progress in this area is mainly thanks to recent machine learning techniques. However, some machine learning approaches are black boxes, hard to understand, and often without direct control over the parameters to adjust the beat tracker. For this demo, we choose a model-based approach that is easy to understand, good for interactions, and well suited for educational purposes [4]. In particular, we present a system for real-time interactive beat tracking based on predominant local pulse (PLP) information, as first described in Grosche et al. [5]. In the first section, we show how the PLP-based algorithm can be transformed from an offline procedure to a real-time procedure. In the second section, we present the implementation of a system that uses this real-time procedure as the centerpiece of an interactive beat tracking application.

Contribution

Peter Meier
S. Schwär
S. Rosenzweig
M. Müller

Real-Time MIR Algorithms for Music-Reactive Game World Generation.

In: Mensch und Computer 2022 - Workshopband.

Eds.:
U. Grünefeld
T. Kosch
K. Marky

Bonn

(2022)

DOI: 10.18420/muc2022-mci-ws03-225

show abstract

In music education, an important learning objective is to acquire a sense of rhythm and melody, e.g., by tapping or singing along to a musical performance. In this context, music games are becoming increasingly popular due to their accessibility and interactivity. However, existing games are often tailored to a specific musical repertoire. In this paper, we will explore the potential of music information retrieval (MIR) algorithms for generating dynamic game worlds that are reactive to musical input in real-time, e.g., to music from a stereo system or a live performance. Such games may be used to explore musical performances in an interactive and playful way. As a case study, we therefore developed a jump-andrun game prototype that challenges players to tap along the beat of the music in their environment. Its music-reactive game world relies on past and predicted beat positions estimated by a real-time beat tracking algorithm.

Lecture