Acoustic Metadata Research Articles

Musical Success in the United States and Brazil: Novel Datasets and Temporal Analyses

Music is not only a worldwide essential cultural industry but also one of the most dynamic. The increasing volume of complex music-related data defines new challenges and opportunities for extracting knowledge, benefiting not only different music segments but also the Music Information Retrieval research field. In this article, we assess musical success in the United States and Brazil, two of the biggest music markets in the world. We first introduce MUHSIC and MUHSIC-BR, two novel datasets with enhanced success information that combine chart-related data with acoustic metadata to describe the temporal evolution of musical careers. Then, we use such enriched and curated data to cluster artists according to their success level by considering their high-impact periods (hot streaks). Our results reveal three groups with distinct success behavior over time. Furthermore, Brazil and the US present specific music success patterns regarding artists and genres, reflecting the importance of analyzing regional markets individually.

Accessing standardized acoustic metadata: A web-based graphical interface for an acoustic metadata server

The Tethys acoustic metadata workbench consists of a set of vocabulary terms designed to provide a standard method to represent detections, classifications, and localizations of biological, ambient, and anthropogenic signals in acoustic data; and a database that permits users to archive and manipulate these data as well as access contextual data such as ephemeris, sea surface temperature, etc. We present a new graphical web client for Tethys that adds a robust set of tools for extensive data exploration in a visualization environment that includes maps and data conversion utilities along with the ability to save queries to provide repeatable results. The web interface provides the ability to query and visualize acoustic data from a web browser with little prior experience. A graphical interface permits the generation of queries without knowledge of the underlying XQuery database language. The standard mode is designed for users with limited knowledge of the Tethys schemata to obtain basic information, see results on a map, and save data in a variety of formats such as Matlab, CSV, and R. Advanced users can switch to a more comprehensive interface that lets them construct and share more sophisticated queries for general use.The Tethys acoustic metadata workbench consists of a set of vocabulary terms designed to provide a standard method to represent detections, classifications, and localizations of biological, ambient, and anthropogenic signals in acoustic data; and a database that permits users to archive and manipulate these data as well as access contextual data such as ephemeris, sea surface temperature, etc. We present a new graphical web client for Tethys that adds a robust set of tools for extensive data exploration in a visualization environment that includes maps and data conversion utilities along with the ability to save queries to provide repeatable results. The web interface provides the ability to query and visualize acoustic data from a web browser with little prior experience. A graphical interface permits the generation of queries without knowledge of the underlying XQuery database language. The standard mode is designed for users with limited knowledge of the Tethys schemata to obtain basic information, see...

Standard for acoustic metadata for passive acoustic monitoring

Passive acoustic monitoring often relies on data collected with various instrumentation, by multiple research groups in different locations, under diverse conditions, and with a variety of data analysis methods. To make the output comparable and to preserve data for long time-series analysis, metadata needs to be reported in a standardized way. This will enable broader metadata studies and the sharing of data in repositories, which will allow for cross fertilization of analyses and hence cost savings for new projects. The Acoustical Society of America Working Group S3-SC1-WG7 “Acoustic Metadata for Passive Acoustic Monitoring” is in the process of defining this standard. We are building upon schemata developed for the metadata database software “Tethys” [Roch et al., Ecol. Inf. 31, 122–126 (2016)]. Instrument deployments and on- or off-effort detections of acoustic signals were defined within this manuscript. The current deployment schema is being implemented in the National Center for Environmental Information Passive Acoustic Monitoring Archive. We have expanded the vocabulary to include mobile platforms, vector sensors, localizations, and calibrations. Exemplary scenarios were developed to test the comprehensiveness of the current standard definitions for these frameworks. We also consider extensibility, making sure that the standard is flexible enough to support new ideas.Passive acoustic monitoring often relies on data collected with various instrumentation, by multiple research groups in different locations, under diverse conditions, and with a variety of data analysis methods. To make the output comparable and to preserve data for long time-series analysis, metadata needs to be reported in a standardized way. This will enable broader metadata studies and the sharing of data in repositories, which will allow for cross fertilization of analyses and hence cost savings for new projects. The Acoustical Society of America Working Group S3-SC1-WG7 “Acoustic Metadata for Passive Acoustic Monitoring” is in the process of defining this standard. We are building upon schemata developed for the metadata database software “Tethys” [Roch et al., Ecol. Inf. 31, 122–126 (2016)]. Instrument deployments and on- or off-effort detections of acoustic signals were defined within this manuscript. The current deployment schema is being implemented in the National Center for Environmental Infor...

Semantic annotation of digital music

In recent times, digital music items on the internet have been evolving in a vast information space where consumers try to find/locate the piece of music of their choice by means of search engines. The current trend of searching for music by means of music consumersʼ keywords/tags is unable to provide satisfactory search results. It is argued that search and retrieval of music can be significantly improved provided end-usersʼ tags are associated with semantic information in terms of acoustic metadata – the latter being easy to extract automatically from digital music items. This paper presents a lightweight ontology that will enable music producers to annotate music against MPEG-7 description (with its acoustic metadata) and the generated annotation may in turn be used to deliver meaningful search results. Several potential multimedia ontologies have been explored and a music annotation ontology, named mpeg-7Music, has been designed so that it can be used as a backbone for annotating music items.