Article ; Online: Comparative Analysis of Majority Language Influence on North Sámi Prosody Using WaveNet-Based modeling.
2020 Volume 65, Issue 4, Page(s) 859–888
Abstract: The Finnmark North Sámi is a variety of North Sámi language, an indigenous, endangered minority language spoken in the northernmost parts of Norway and Finland. The speakers of this language are bilingual, and regularly speak the majority language ( ... ...
| Abstract | The Finnmark North Sámi is a variety of North Sámi language, an indigenous, endangered minority language spoken in the northernmost parts of Norway and Finland. The speakers of this language are bilingual, and regularly speak the majority language (Finnish or Norwegian) as well as their own North Sámi variety. In this paper we investigate possible influences of these majority languages on prosodic characteristics of Finnmark North Sámi, and associate them with prosodic patterns prevalent in the majority languages. We present a novel methodology that: (a) automatically finds the portions of speech (words) where the prosodic differences based on majority languages are most robustly manifested; and (b) analyzes the nature of these differences in terms of intonational patterns. For the first step, we trained convolutional WaveNet speech synthesis models on North Sámi speech material, modified to contain purely prosodic information, and used conditioning embeddings to find words with the greatest differences between the varieties. The subsequent exploratory analysis suggests that the differences in intonational patterns between the two Finnmark North Sámi varieties are not manifested uniformly across word types (based on part-of-speech category). Instead, we argue that the differences reflect phrase-level prosodic characteristics of the majority languages. |
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| MeSH term(s) | Humans ; Language ; Speech ; Speech Perception ; Norway |
| Language | English |
| Publishing date | 2020-12-29 |
| Publishing country | England |
| Document type | Journal Article |
| ZDB-ID | 3312-1 |
| ISSN | 1756-6053 ; 0023-8309 |
| ISSN (online) | 1756-6053 |
| ISSN | 0023-8309 |
| DOI | 10.1177/0023830920983591 |
| Database | MEDical Literature Analysis and Retrieval System OnLINE |
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