Exploring Aggregated wav2vec 2.0 Features and Dual-Stream TDNN for Efficient Spoken Dialect Identification
Dialect identification (DID) is a challenging task due to high inter-class similarities between the dialects. Efficiency of a DID system depends on how well the input features encode the DID-specific contents in the speech that is spread across the utterance. In this paper, we explore different repr...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10818458/ |
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