3 papers
eess.AS2026
DASHA: Diarization-Aware Speech-LLM ASR for Healthcare in Code-Switched Indic Doctor-Patient Conversations
Séverin Baroudi, Yanis Labrak, Shashi Kumar +7
Extracting patients' medical conditions from recorded primary-care conversations requires knowing who said what, which is difficult when speech is far-field, spontaneous, overlappi…
cs.SD2025
Probabilistic Fusion and Calibration of Neural Speaker Diarization Models
Juan Ignacio Alvarez-Trejos, Sergio A. Balanya, Daniel Ramos +1
End-to-End Neural Diarization (EEND) systems produce frame-level probabilistic speaker activity estimates, yet since evaluation focuses primarily on Diarization Error Rate (DER), t…
cs.SD2024
Leveraging Speaker Embeddings in End-to-End Neural Diarization for Two-Speaker Scenarios
Juan Ignacio Alvarez-Trejos, Beltrán Labrador, Alicia Lozano-Diez
End-to-end neural speaker diarization systems are able to address the speaker diarization task while effectively handling speech overlap. This work explores the incorporation of sp…