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A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

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0111 · Feb 202019922001200920172026
1 result for “resegmentation”
DIHARD II is Still Hard: Experimental Results and Discussions from the DKU-LENOVO Teameess.AS

DKULENOVO team improves speech diarization by 27.5% and 31.7% in DIHARD II.

problem Challenges in speech diarization, especially in distinguishing overlapping speakers.
method Used a combination of VAD, speaker embedding extraction, similarity scoring, clustering, and resegmentation techniques.
result Achieved 18.84% DER in Track1 and 27.90% DER in Track2, reducing baseline DERs by 27.5% and 31.7% respectively.
speech diarizationDIHARD IIvoice activity detectionspeaker embeddingresegmentation
2020-02-23abs ↗pdf ↗