Efficiently conduct online tests with recognised standards, diverse options and advanced features for streamlined product development. Ensure precision in audio evaluation.
Run fast and reliable listening tests with SenseLabOnlineTM
SenseLabOnlineTM is a web application that functions as a complete listening test facility. This web application revolutionises audio evaluation by handling all steps included in performing a best-practise listening test from anywhere.
Seamless and efficient platform for listening tests
Use SenseLabOnlineTM to design and conduct recognised and standard-compliant listening tests in a fast, reliable, easy-to-use and time-saving way. Experience recognised standards, diverse test options and advanced features for product development.
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Choose from a range of standard-compliant ITU-R test methods like MUSHRA to advanced, fully synchronised 4k audio/visual testing using VR headsets and multichannel loudspeaker reproduction. Available listening tests include double-blind experimentation, automatic or custom randomisation of stimuli, precise playback, optimised user interfaces, easy handling of assessors, setup of test sequences, and automated statistical analysis of test data and assessor performance.
SenseLabOnlineTM supports WAV format and sample rates from 8 – 96 kHz with a resolution of 16-bit (32-bit in the standalone version). It accommodates mono or stereo channels.
The sound player used by SenseLabOnlineTM has been developed exclusively for SenseLabOnlineTM to meet the high-performance criteria specified in the international standards for audio evaluation testing. The sound player runs exclusively via your web browser, meaning no additional programmes need to be installed to build or run tests. A dedicated Audio/Video player is also available in an advanced version that ensures complete hardware control.
SenseLabOnlineTM has implemented automatic statistical analysis procedures. Any time during a test, you can get an instant and full statistical analysis and see preliminary results.
The automatic routines check data quality and basic assumptions before plotting the results.
Basic analysis methods like 2-way Analysis of Variance (ANOVA), showing mean values with confidence intervals, plotting of interaction between experimental variables (etc.) are always included.
For more advanced test types, e.g. tests with multiple test questions/attributes, you will get a complete overview of the results using multivariate data analysis methods, such as Principal Component Analysis (PCA) and Hierarchical Multiple Factorial Analysis (HMFA).
