Accent clustering in Swedish using the Bhattacharyya distance

• In an attempt to improve automatic speech recognition(ASR) models for Swedish, accent variations wereconsidered. These have proved to be important variablesin the statistical distribution of the acoustic featuresusually employed in ASR. The analysis of featurevariability have revealed phenomena that are consistentwith what is known from phonetic investigations,suggesting that a consistent part of the informationabout accents could be derived form those features. Agraphical interface has been developed to simplify thevisualization of the geographical distributions of thesephenomena.

Ämnesord

NATURVETENSKAP  -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)

NATURAL SCIENCES  -- Computer and Information Sciences -- Computer Sciences (hsv//eng)

Nyckelord

Computer science

Datavetenskap

Publikations- och innehållstyp

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