FG Audiokommunikation

203 Items

Recent Submissions
A Ground Truth on Room Acoustical Analysis and Perception (GRAP)

Ackermann, David ; Ilse, Maximilan ; Grigoriev, Dmitry ; Lepa, Steffen ; Pelzer, Sönke ; Vorländer, Michael ; Weinzierl, Stefan (2018-05)

A database of 35 virtual room models was created that can serve as a ground truth for the future development of room acoustical parameters beyond ISO 3382-1. Some of the room models are based on existing performance venues, however without yielding a perfect match of measured and simulated acoustical parameters. Others are artificial designs which were made to systematically cover a wide variet...

Popular Music as Entertainment Communication: How Perceived Semantic Expression Explains Liking of Previously Unknown Music

Lepa, Steffen ; Steffens, Jochen ; Herzog, Martin ; Egermann, Hauke (2020-08-13)

Our contribution addresses popular music as essential part of media entertainment offerings. Prior works explained liking for specific music titles in ‘push scenarios’ (radio programs, music recommendation, curated playlists) by either drawing on personal genre preferences, or on findings about ‘cognitive side effects’ leading to a preference drift towards familiar and society-wide popular trac...

Measuring Stereotypes in Music: A Commentary on Susino and Schubert (2019)

Anglada-Tort, Manuel (2019)

In this commentary, I first discuss the strengths of the target paper and provide suggestions for future research. I proceed to point out an important limitation of the target study as well as contribute considerations relevant to measuring stereotypes in music. Finally, I present a novel theoretical account to explain music stereotyping, namely, the representativeness heuristic (Tversky & Kahn...

The FABIAN head-related transfer function data base

Brinkmann, Fabian ; Lindau, Alexander ; Weinzierl, Stefan ; Geissler, Gunnar ; van de Par, Steven ; Müller-Trapet, Markus ; Opdam, Rob ; Vorländer, Michael (2017-02-09)

This data base includes head-related transfer functions (HRTFs), headphone transfer functions (HpTFs), and 3D-meshes of the FABIAN head and torso simulator. More detailed information is provided in the documentation within the data base.

Flexibel installierbare Breitband-Schallabsorber für Kommunikationsräume

Fuchs, Helmut V. ; Alexander, Bradley ; Weinzierl, Stefan (2020)

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Acoustic Identification of Flat Spots On Wheels Using Different Machine Learning Techniques

Dernbach, Gabriel ; Lykartsis, Athanasios ; Sievers, Leon ; Weinzierl, Stefan (2020)

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Modellierung von Publikumsgeräuschen bei Veranstaltungen mit Sprache und Musik

Böldt, Sebastian ; Steffens, Jochen ; Büttner, Clemens ; Weinzierl, Stefan (2020)

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Eine qualitative Untersuchung der Generalisierungsverhaltens von CNNs zur Instrumentenerkennung

Gebhardt, Roman B. ; Lykartsis, Athanasios ; Weinzierl, Stefan (2020)

Künstliche neuronale Netze (ANNs) haben sich im Bereich des maschinellen Lernens für Audiodaten als erfolgreichstes Werkzeug mit hoher Klassifikationsrate etabliert [1]. Ein bedeutender Nachteil besteht aus wissenschaftlicher Sicht jedoch in der schweren Interpretierbarkeit des von ANNs tatsächlich gelernten Inhalts [2, 3]. Um dieses Problem anzugehen untersuchen wir in dieser Arbeit den Lern- ...

Kann man die Form eines Konzertsaales hören? Ein audiovisueller Test in simulierten 3D Umgebungen

Greif, Jakob ; Ackermann, David ; Kokabi, Omid ; Weinzierl, Stefan (2020)

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Eine Web-Applikation zur Optimierung der Krümmung von Line Source Arrays

Hölter, Arne ; Straube, Florian ; Schultz, Frank ; Weinzierl, Stefan (2020)

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Synthese komplexer Richtcharakteristiken für eine Schallfeldoptimierung im Zeitbereich

Lemke, Mathias ; Stein, Lewin ; Hölter, Arne ; Straube, Florian ; Weinzierl, Stefan (2020)

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Gibt es raumakustische Hörexpertise?

Berg, Markus von ; Steffens, Jochen ; Müllensiefen, Daniel ; Weinzierl, Stefan (2020)

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Zum Einfluss der Akustik auf die Qualität von Restaurants. Eine Feldstudie

Wilczek, Tobias ; Steffens, Jochen ; Weinzierl, Stefan (2020)

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Analyse der Geräusche von Publikum in Musikaufführungen

Görlach, Matthias ; Weinzierl, Stefan (2020)

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The influence of film music on moral judgments of movie scenes and felt emotions

Steffens, Jochen (2018-06-26)

Music can modulate perceptions, actions, and judgments in everyday situations. The aim of this study was to investigate a potential influence of music on moral judgments in the context of film reception. In the course of an online experiment, 252 participants were assigned to three different experimental conditions (no, positive, or negative music). Participants were requested to assess actions...

Prediction of Dialogue Success with Spectral and Rhythm Acoustic Features Using DNNS and SVMS

Lykartsis, Athanasios ; Kotti, Margarita ; Papangelis, Alexandros ; Stylianou, Yannis (2019-02-14)

In this paper we investigate the novel use of exclusively audio to predict whether a spoken dialogue will be successful or not, both in a subjective and in an objective manner. To achieve that, multiple spectral and rhythmic features are inputted to support vector machines and deep neural networks. We report results on data from 3267 spoken dialogues, using both the full user response as well a...

Speaker Identification for Swiss German with Spectral and Rhythm Features

Lykartsis, Athanasios ; Weinzierl, Stefan ; Dellwo, Volker (2017-06-13)

We present results of speech rhythm analysis for automatic speaker identification. We expand previous experiments using similar methods for language identification. Features describing the rhythmic properties of salient changes in signal components are extracted and used in an speaker identification task to determine to which extent they are descriptive of speaker variability. We also test the ...

Using the beat histogram for speech rhythm description and language identification

Lykartsis, Athanasios ; Weinzierl, Weinzierl (2015)

In this paper we present a novel approach for the description of speech rhythm and the extraction of rhythm-related features for automatic language identification (LID). Previous methods have extracted speech rhythm through the calculation of features based on salient elements of speech such as consonants, vowels and syllables. We present how an automatic rhythm extraction method borrowed from ...

Speech and music discrimination: Human detection of differences between music and speech based on rhythm

Stanev, Madeleine ; Redlich, Johannes ; Knörzer, Christian ; Rosenfeld, Ninett ; Lykartsis, Athanasios (2016)

Rhythm in speech and singing forms one of its basic acoustic components. Therefore, it is interesting to investigate the capability of subjects to distinguish between speech and singing when only the rhythm remains as an acoustic cue. For this study we developed a method to eliminate all linguistic components but rhythm from the speech and singing signals. The study was conducted online and par...

Beat histogram features for rhythm-based musical genre classification using multiple novelty functions

Lykartsis, Athanasios ; Lerch, Alexander (2015)

In this paper we present beat histogram features for multiple level rhythm description and evaluate them in a musical genre classification task. Audio features pertaining to various musical content categories and their related novelty functions are extracted as a basis for the creation of beat histograms. The proposed features capture not only amplitude, but also tonal and general spectral chan...