Deep Clustering With Constant Q Transform For Multi-Talker Single Channel Speech Separation
Deep clustering technique is a state-of-the-art deep learning-based method for multi-talker speaker-independent speech separation. It solves the label ambiguity problem by mapping time-frequency (TF) bins of the mixed spectrogram to an embedding space, and assigning contrastive embedding vectors to...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
FRUCT
2018-11-01
|
| Series: | Proceedings of the XXth Conference of Open Innovations Association FRUCT |
| Subjects: | |
| Online Access: | https://fruct.org/publications/abstract23/files/Shi.pdf
|