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AUDIO SUPER-RESOLUTION or speech bandwidth extension (Upsampling Ratio = 2)

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Datasets

Greatest papers with code

Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations.

NeurIPS 2019 kuleshov/audio-super-res

Learning representations that accurately capture long-range dependencies in sequential inputs --- including text, audio, and genomic data --- is a key problem in deep learning.

AUDIO SUPER-RESOLUTION SUPER-RESOLUTION TEXT CLASSIFICATION

Audio Super Resolution using Neural Networks

2 Aug 2017kuleshov/audio-super-res

We introduce a new audio processing technique that increases the sampling rate of signals such as speech or music using deep convolutional neural networks.

AUDIO SUPER-RESOLUTION

Temporal FiLM: Capturing Long-Range Sequence Dependencies with Feature-Wise Modulations

14 Sep 2019leolya/Audio-Super-Resolution-Tensorflow2.0-TFiLM

Learning representations that accurately capture long-range dependencies in sequential inputs -- including text, audio, and genomic data -- is a key problem in deep learning.

AUDIO SUPER-RESOLUTION SUPER-RESOLUTION TEXT CLASSIFICATION

On Filter Generalization for Music Bandwidth Extension Using Deep Neural Networks

14 Nov 2020serkansulun/deep-music-enhancer

In this paper, we address a sub-topic of the broad domain of audio enhancement, namely musical audio bandwidth extension.

 Ranked #1 on Audio Super-Resolution on DSD100 (using extra training data)

AUDIO SUPER-RESOLUTION DATA AUGMENTATION