The ART of Conversation: Measuring Phonetic Convergence and Deliberate Imitation in L2-Speech with a Siamese RNN
Slovak
DOI:
10.21437/interspeech.2023-2283
Publication Date:
2023-08-14T08:22:20Z
AUTHORS (6)
ABSTRACT
Phonetic convergence describes the automatic and unconscious speech adaptation of two interlocutors in a conversation.This paper proposes Siamese recurrent neural network (RNN) architecture to measure holistic spectral characteristics sounds an L2-L2 interaction.We extend alternating reading task (the ART) dataset by adding 20 native Slovak L2 English speakers.We train test RNN model phonetic from three different language groups: Italian (9 dyads), French (10 dyads) dyads).Our results indicate that effectively captures dynamics speaker's imitation ability.Moreover, this text-independent is scalable capable handling L1-induced speaker variability.
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