VoiLA: An Online Intelligent Speech Analysis and Collection Platform

Simone Hantke, Tobias Olenyi, Christoph Hausner, Bjorn Schuller

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations

Abstract

In this study, we propose the novel Voice AnaLysis Application 'VoiLA', a free web-based speech classification tool designed to educate users about state-of-the-art speech analysis paradigms. Further, the platform encourages users to take an active role in improving the service by providing labelled speech data via an associated web interface. VoiLA allows users to record and upload voice samples directly from their browser. The speech data is then analysed in a state-of-the-art classification pipeline, using a set of pre-trained models which target a range of speaker states and traits such as gender, valence, arousal, dominance, and 24 different discrete emotions. The analysis results are then visualised in the browser, giving users a unique insight into how their voice sounds. We assess the effectiveness of VoiLA via a series of user evaluations which indicate that it is fun and easy to use and routinely provides accurate and informative voice analysis.

Original languageEnglish
Title of host publication2018 1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538653111
DOIs
StatePublished - 21 Sep 2018
Externally publishedYes
Event1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia 2018 - Beijing, China
Duration: 20 May 201822 May 2018

Publication series

Name2018 1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia 2018

Conference

Conference1st Asian Conference on Affective Computing and Intelligent Interaction, ACII Asia 2018
Country/TerritoryChina
CityBeijing
Period20/05/1822/05/18

Keywords

  • Crowdsourcing
  • Human computation
  • Speech analysis
  • Survey.

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