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Additionally, it is better suited to our closed-set identi- fication task than other commonly used measures, such as equal error rate (EER)

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eess.AS 1

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2025 1

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CONDITIONAL 1

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Rhythm Features for Speaker Identification

eess.AS · 2025-06-07 · conditional · novelty 6.0

Using character-duration sequences from WhisperX, a transformer identifies speakers with balanced accuracy of 0.39 on LibriSpeech but only 0.03 on VoxCeleb1, and fusion with x-vectors does not improve accuracy.

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  • Rhythm Features for Speaker Identification eess.AS · 2025-06-07 · conditional · none · ref 5

    Using character-duration sequences from WhisperX, a transformer identifies speakers with balanced accuracy of 0.39 on LibriSpeech but only 0.03 on VoxCeleb1, and fusion with x-vectors does not improve accuracy.