On the Relations Between Audio Features and Room Acoustic Parameters of Auralizations

2013 ◽  
Vol 135 (6) ◽  
Author(s):  
Salvador Cerdá ◽  
Alicia Giménez ◽  
Radha Montell ◽  
Arturo Barba ◽  
Radu Lacatis ◽  
...  
Keyword(s):  
Room Acoustics ◽  
Subjective Perception ◽  
Audio Signals ◽  
Acoustic Parameters ◽  
Acoustic Characteristics ◽  
Statistical Correlations ◽  
Audio Features ◽  
Musical Characteristics ◽  
Audio Files ◽  
Musical Audio

The usual parameters in room acoustics are used to quantify the acoustic characteristics of rooms and their relation to the subjective perception of transmitted signals. Audio features (calculated with MIRToolbox) have been designed to study the relationships between the characteristics of musical audio files and their subjective perception. Both musical characteristics and acoustic parameters are oriented towards acoustic perception. By using auralizations with calibrated models of auditoriums and tools from the MIRtoolbox it is possible to jointly work with the calculation of audio features and room parameters. In this work, the statistical correlations between C80, STI, D50, EDT, RT and certain audio features have been analyzed. The Pearson r values are higher than 0.8 in all cases. These high correlations enable acoustic parameters to be calculated from the musical characteristics of auralized audio signals.

Evaluation of the influence of building façade design on the acoustic characteristics and auditory perception of urban spaces

2018 ◽  
Vol 25 (1) ◽  
pp. 77-95 ◽  
Author(s):  
Cristina Calleri ◽  
Louena Shtrepi ◽  
Alessandro Armando ◽  
Arianna Astolfi
Keyword(s):  
Urban Space ◽  
Auditory Perception ◽  
Spatial Perception ◽  
Urban Spaces ◽  
Subjective Perception ◽  
Acoustic Parameters ◽  
Acoustic Characteristics ◽  
Scattering Coefficients ◽  
Building Facade ◽  
Mathematical Relation

Auditory perception has been proved to have an influence on how we live and move through places and on the use of public spaces. However, despite the numerous studies that have focused on the theme of soundscape and auditory perception of urban spaces, these aspects have not been studied in connection with the design of the building surrounding such spaces. This study focuses on the influence of façade design on acoustic characteristics of an urban space and on the subjective spatial perception of the users. Simulations and auralizations have been conducted through ODEON software (v.13) on the virtual model of a small square of Turin (Italy). Different absorption and scattering coefficients of façade upholsteries have been applied to the façades of the building surrounding the square, choosing from a pool of typical building façade materials. Results of a listening test have proved that the absorption coefficient of the façades has an influence on the subjective perception of space wideness. Moreover, multiple regression analysis has been conducted in order to find a mathematical relation between space wideness perception and objective acoustic parameters. It was shown that the relation between the perceptual aspects and the objective parameters is strongly dependent on the listening position.

scholarly journals 402 Audio information retrieval for describing gait patterns in Brazilian horses

2020 ◽  
Vol 98 (Supplement_4) ◽  
pp. 27-27
Author(s):  
Ricardo V Ventura ◽  
Rafael Z Lopes ◽  
Lucas T Andrietta ◽  
Fernando Bussiman ◽  
Julio Balieiro ◽  
...  
Keyword(s):  
Information Retrieval ◽  
Subjective Evaluation ◽  
Audio Signal ◽  
Principal Component ◽  
Potential Method ◽  
Economic Sectors ◽  
Audio Features ◽  
Horse Industry ◽  
Audio Files ◽  
Audio Information

Abstract The Brazilian gaited horse industry is growing steadily, even after a recession period that affected different economic sectors in the whole country. Recent numbers suggested an increase on the exports, which reveals the relevance of this horse market segment. Horses are classified according to the gait criteria, which divide the horses in two groups associated with the animal movements: lateral (Marcha Picada) or diagonal (Marcha_Batida). These two gait groups usually show remarkable differences related to speed and number of steps per fixed unit of time, among other factors. Audio retrieval refers to the process of information extraction obtained from audio signals. This new data analysis area, in comparison to traditional methods to evaluate and classify gait types (as, for example, human subjective evaluation and video monitoring), provides a potential method to collect phenotypes in a reduced cost manner. Audio files (n = 80) were obtained after extracting audio features from freely available YouTube videos. Videos were manually labeled according to the two gait groups (Marcha Picada or Marcha Batida) and thirty animals were used after a quality control filter step. This study aimed to investigate different metrics associated with audio signal processing, in order to first cluster animals according to the gait type and subsequently include additional traits that could be useful to improve accuracy during the identification of genetically superior animals. Twenty-eight metrics, based on frequency or physical audio aspects, were carried out individually or in groups of relative importance to perform Principal Component Analysis (PCA), as well as to describe the two gait types. The PCA results indicated that over 87% of the animals were correctly clustered. Challenges regarding environmental interferences and noises must be further investigated. These first findings suggest that audio information retrieval could potentially be implemented in animal breeding programs, aiming to improve horse gait.

scholarly journals Stochastic Restoration of Heavily Compressed Musical Audio Using Generative Adversarial Networks

Electronics ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 1349
Author(s):  
Stefan Lattner ◽  
Javier Nistal
Keyword(s):  
Data Storage ◽  
Audio Signal ◽  
Human Perception ◽  
Generative Adversarial Networks ◽  
Audio Signals ◽  
Generative Adversarial Network ◽  
Adversarial Network ◽  
Extensive Evaluation ◽  
Listening Tests ◽  
Musical Audio

Lossy audio codecs compress (and decompress) digital audio streams by removing information that tends to be inaudible in human perception. Under high compression rates, such codecs may introduce a variety of impairments in the audio signal. Many works have tackled the problem of audio enhancement and compression artifact removal using deep-learning techniques. However, only a few works tackle the restoration of heavily compressed audio signals in the musical domain. In such a scenario, there is no unique solution for the restoration of the original signal. Therefore, in this study, we test a stochastic generator of a Generative Adversarial Network (GAN) architecture for this task. Such a stochastic generator, conditioned on highly compressed musical audio signals, could one day generate outputs indistinguishable from high-quality releases. Therefore, the present study may yield insights into more efficient musical data storage and transmission. We train stochastic and deterministic generators on MP3-compressed audio signals with 16, 32, and 64 kbit/s. We perform an extensive evaluation of the different experiments utilizing objective metrics and listening tests. We find that the models can improve the quality of the audio signals over the MP3 versions for 16 and 32 kbit/s and that the stochastic generators are capable of generating outputs that are closer to the original signals than those of the deterministic generators.

Acoustic Properties of Timber Joist Ceilings with Respects to their Response onto the Effects of Dynamic Loads

2013 ◽  
Vol 649 ◽  
pp. 269-272 ◽  
Author(s):  
Dagmar Donaťáková ◽  
Jana Krupicová ◽  
Zuzana Kolářová ◽  
Bohumil Straka
Keyword(s):  
Acoustic Properties ◽  
Dynamic Loads ◽  
Subjective Perception ◽  
Acoustic Parameters ◽  
Low Frequencies ◽  
Acoustic Conditions

The paper discusses some issues connected to timber joist ceilings found not only in historical protected buildings but also in newly designed multi-storey timber based ones, with regards to their acoustic parameters perceived by the inhabitants of such objects. These problems are usually connected to the complaints of the users because of unsatisfying acoustic conditions indoors, observed mainly at low frequencies, even though the requirements given by the legislation are met. The paper with its content is a reaction to the contradiction between the results coming from measurements and subjective perception, and is complemented by structural evaluations seeking the effects of dynamic tremors and vibrations.

scholarly journals Modeling Measurement Uncertainty in Room Acoustics

10.14311/972 ◽  
2007 ◽  
Vol 47 (4-5) ◽  
Author(s):  
P. Dietrich
Keyword(s):  
Measurement Errors ◽  
Influence Factors ◽  
Uncertainty Budget ◽  
Room Acoustics ◽  
Acoustic Parameters ◽  
Uncertainty In Measurement ◽  
Measurement Results ◽  
Combined Uncertainty ◽  
Main Influence

This paper investigates a way of determining and modeling uncertainty contributions in measurements of room acoustic parameters, which are commonly used to describe the acoustic situation of a room in an objective manner. If the range of uncertainty and the confidence interval are not given, the results remain incomparable to other measurement teams, since modern PC-based measurements still show appreciable sources of measurement errors. The Guide to the Expression of Uncertainty in Measurement (GUM) defines a unified guideline for determining uncertainties in all fields of measurement. Its application is increasingly required by modern measurement standards. However, the GUM procedures have not been applied to room acoustics yet. Hence, a scalable linear approach for calculating the combined uncertainty of room acoustic parameters with regard to the input quantities is proposed. In-situ measurement results of specially designed experiments show the significance of the main influence factors and are used to build the uncertainty budget. 

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