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Leveraging Latent Representations of Speech for Indian Language Identification
Identification of the language spoken from speech utterances is an interesting task because of the diversity associated with different languages and human voices.
VFNet: A Convolutional Architecture for Accent Classification
Understanding accent is an issue which can derail any human-machine interaction.
Autoencoder Based Architecture For Fast & Real Time Audio Style Transfer
Recently, there has been great interest in the field of audio style transfer, where a stylized audio is generated by imposing the style of a reference audio on the content of a target audio.
MSCE: An edge preserving robust loss function for improving super-resolution algorithms
With the recent advancement in the deep learning technologies such as CNNs and GANs, there is significant improvement in the quality of the images reconstructed by deep learning based super-resolution (SR) techniques.
Computationally Efficient Approaches for Image Style Transfer
In this work, we have investigated various style transfer approaches and (i) examined how the stylized reconstruction changes with the change of loss function and (ii) provided a computationally efficient solution for the same.
