Bandwidth Extension

15 papers with code • 1 benchmarks • 1 datasets

Bandwidth extension is the task of expanding the bandwidth of a signal in a way that approximates the original or desired higher bandwidth signal.

Datasets


Most implemented papers

AERO: Audio Super Resolution in the Spectral Domain

slp-rl/aero 22 Nov 2022

We optimize the model using both time and frequency domain loss functions.

Configurable EBEN: Extreme Bandwidth Extension Network to enhance body-conducted speech capture

jhauret/eben 17 Mar 2023

This paper presents a configurable version of Extreme Bandwidth Extension Network (EBEN), a Generative Adversarial Network (GAN) designed to improve audio captured with body-conduction microphones.

UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model

samsunglabs/undiff 1 Jun 2023

Being once trained for speech waveform generation in an unconditional manner, it can be adapted to different tasks including degradation inversion, neural vocoding, and source separation.

Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech Enhancement

yxlu-0102/MP-SENet 17 Aug 2023

Compared to existing phase-aware speech enhancement methods, it further mitigates the compensation effect between the magnitude and phase by explicit phase estimation, elevating the perceptual quality of enhanced speech.

A Diffusion-Based Generative Equalizer for Music Restoration

eloimoliner/babe2 27 Mar 2024

This paper presents a novel approach to audio restoration, focusing on the enhancement of low-quality music recordings, and in particular historical ones.