Cart
Create Account
Sign In
Already purchased this program?
Login to View
This video program is a part of the Premium package:
Multimodal Speaker Diarization Of Real-World Meetings Using D-Vectors With Spatial Features
- IEEE MemberUS $11.00
- Society MemberUS $0.00
- IEEE Student MemberUS $11.00
- Non-IEEE MemberUS $15.00
Multimodal Speaker Diarization Of Real-World Meetings Using D-Vectors With Spatial Features
Deep neural network based audio embeddings (d-vectors) have demonstrated superior performance in audio-only speaker diarization compared to traditional acoustic features such as mel-frequency cepstral coefficients (MFCCs) and i-vectors. However, there has
Deep neural network based audio embeddings (d-vectors) have demonstrated superior performance in audio-only speaker diarization compared to traditional acoustic features such as mel-frequency cepstral coefficients (MFCCs) and i-vectors. However, there has
Next Up
00:28:33
