Search Results for author:
Found 2 papers, 1 papers with code
TitaNet: Neural Model for speaker representation with 1D Depth-wise separable convolutions and global context
In this paper, we propose TitaNet, a novel neural network architecture for extracting speaker representations.
Ranked #1 on
Speaker Diarization
on CH109
Robust Multi-channel Speech Recognition using Frequency Aligned Network
In this paper, we further develop this idea and use frequency aligned network for robust multi-channel automatic speech recognition (ASR).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
