Abstract

For a long time, many popular listening test methods, such as ITU-R BS.1534 (MUSHRA), could not be carried out as web-based listening tests, since established web standards did not support all required audio processing features. With the standardization of the Web Audio API, the required features became available and, therefore, also the possibility to implement a wide range of established methods as web-based listening tests. In order to simplify the implementation of MUSHRA listening tests, the development of webMUSHRA was started. By utilizing webMUSHRA, experimenters can configure web-based MUSHRA listening tests without the need of web programming expertise. Today, webMUSHRA supports many more listening test methods, such as ITU-R BS.1116 and forced-choice procedures. Moreover, webMUSHRA is highly customizable and has been used in many auditory studies for different purposes.

Highlights

  • For a long time, many popular listening test methods, such as ITU-R BS.1534 (MUSHRA), could not be carried out as web-based listening tests, since established web standards did not support all required audio processing features

  • With the standardization of the Web Audio API, the required features became available and, the possibility to implement a wide range of established methods as web-based listening tests

  • Since the release of the Web Audio API standard, many browsers started to implement the standard and therby support audio processing features required by many listening test methods

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Summary

Introduction

Many popular listening test methods, such as ITU-R BS.1534 (MUSHRA), could not be carried out as web-based listening tests, since established web standards did not support all required audio processing features. With the standardization of the Web Audio API, the required features became available and, the possibility to implement a wide range of established methods as web-based listening tests. By utilizing webMUSHRA, experimenters can configure web-based MUSHRA listening tests without the need of web programming expertise.

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