Extending the EMU Speech Database Management System: Cloud Hosting, Team Collaboration, Automatic Revision Control
نویسنده
چکیده
In this paper, we introduce a new component of the EMU Speech Database Management System [1, 2] to improve the team workflow of handling production data (both acoustic and physiological) in phonetics and the speech sciences. It is named emuDB Manager, and it facilitates the coordination of team efforts, possibly distributed over several nations, by introducing automatic revision control (based on Git), cloud hosting (in private clouds provided by the researchers themselves or a third party), by keeping track of which parts of the database have already been edited (and by whom), and by centrally collecting and making searchable the notes made during the edit process.
منابع مشابه
Automatic Schedule Control for Distributed Software Development in Cloud Computing Environments
This paper proposes an extension of automatic schedule control to the WebSD management model of distributed software development in cloud computing environments. Cloud computing environments provide more flexibility than conventional computing environments. In particular, platform as a service (PaaS) provides more flexibility in application design, development testing, deployment, hosting, team...
متن کاملA Database for Automatic Persian Speech Emotion Recognition: Collection, Processing and Evaluation
Abstract Recent developments in robotics automation have motivated researchers to improve the efficiency of interactive systems by making a natural man-machine interaction. Since speech is the most popular method of communication, recognizing human emotions from speech signal becomes a challenging research topic known as Speech Emotion Recognition (SER). In this study, we propose a Persian em...
متن کاملEMU-SDMS: Advanced speech database management and analysis in R
The amount and complexity of the often very specialized tools necessary for working with spoken language databases has continually evolved and grown over the years. The speech and spoken language research community is expected to be well versed in multiple software tools and have the ability to switch seamlessly between the various tools, sometimes even having to script adhoc solutions to solve...
متن کاملMulti-level Annotation of Speech: An Overview of The Emu Speech Database Management System
Researchers in various fields, from acoustic phonetics to child language development, rely on digitised collections of spoken language data as raw material for research. Access to this data has, in the past, been provided in an ad-hoc manner with labelling standards and software tools developed to serve only one or two projects. A few attempts have been made at providing generalised access to s...
متن کاملCompiling multi-tiered speech databases into the relational model: experiments with the emu system
The Emu speech database system enables the annotation of speech signals at many levels of detail and provides a mechanism for making links between these levels to produce a hierarchical annotation. Emu provides facilities for searching collections of these annotations according to both sequential and hierarchical criteria. The results of a search can be used to retrieve acoustic and other data ...
متن کامل