Search Results for author:
Found 6 papers, 1 papers with code
Curriculum learning for self-supervised speaker verification
The goal of this paper is to train effective self-supervised speaker representations without identity labels.
Layer Pruning on Demand with Intermediate CTC
Deploying an end-to-end automatic speech recognition (ASR) model on mobile/embedded devices is a challenging task, since the device computational power and energy consumption requirements are dynamically changed in practice.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields
However, if the scene is moving too fast, then the sampling occurs along a limited view and is difficult to reconstruct due to spatiotemporal ambiguities.
Augmentation adversarial training for self-supervised speaker recognition
Since the augmentation simulates the acoustic characteristics, training the network to be invariant to augmentation also encourages the network to be invariant to the channel information in general.
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers
Automatic speech recognition (ASR) via call is essential for various applications, including AI for contact center (AICC) services.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+4
Deep Learning Reconstruction for 9-View Dual Energy CT Baggage Scanner
For homeland and transportation security applications, 2D X-ray explosive detection system (EDS) have been widely used, but they have limitations in recognizing 3D shape of the hidden objects.
