Exploring Graph Theory Methods for the Analysis of Pronunciation Variation in Spontaneous Speech
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- Wed, Nov 01, 2023
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Given the development of automatic speech recognition based techniques for creating phonetic annotations of large speech corpora, there has been a growing interest in investigating the frequencies of occurrence of phonological and reduction processes. Given that most studies have analyzed these processes separately, they did not provide insights about their co-occurrences. This paper contributes with introducing graph theory methods for the analysis of pronunciation variation in GRASS, a large corpus of Austrian German conversational speech. More specifically, we investigate how reduction processes that are typical for spontaneous German in general (figure: yellow) co-occur with phonological processes typical for the Austrian German variety (figure: red). Whereas our concrete findings are of special interest to scientists investigating variation in German, the approach presented opens new possibilities to analyze pronunciation variation in large corpora of across speakers and across speaking styles in any language.
This work has been presented at Interspeech 2023, Dublin.
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