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eess.AS2026
Doctor or Patient? Synergizing Diarization and ASR for Code-Switched Hinglish Medical Conditions Extraction
Séverin Baroudi, Yanis Labrak, Shashi Kumar +7
Extracting patient medical conditions from code-switched clinical spoken dialogues is challenging due to rapid turn-taking and highly overlapped speech. We present a robust system…
eess.AS2025
On the Use of Self-Supervised Representation Learning for Speaker Diarization and Separation
Séverin Baroudi, Hervé Bredin, Joseph Razik +1
Self-supervised speech models such as wav2vec2.0 and WavLM have been shown to significantly improve the performance of many downstream speech tasks, especially in low-resource sett…