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…