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Bandwidth Extension

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

Papers

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Showing 1–50 of 50 papers

TitleStatusHype
EDNet: A Distortion-Agnostic Speech Enhancement Framework with Gating Mamba Mechanism and Phase Shift-Invariant Training—0
Neural Spectral Band Generation for Audio Coding—0
French Listening Tests for the Assessment of Intelligibility, Quality, and Identity of Body-Conducted Speech Enhancement—0
Learning to Upsample and Upmix Audio in the Latent Domain—0
UBGAN: Enhancing Coded Speech with Blind and Guided Bandwidth Extension—0
A2SB: Audio-to-Audio Schrodinger Bridges—0
A lightweight and robust method for blind wideband-to-fullband extension of speech—0
Generative Speech Foundation Model Pretraining for High-Quality Speech Extraction and RestorationCode0
VC-ENHANCE: Speech Restoration with Integrated Noise Suppression and Voice Conversion—0
DSP-informed bandwidth extension using locally-conditioned excitation and linear time-varying filter subnetworks—0
Vibravox: A Dataset of French Speech Captured with Body-conduction Audio SensorsCode1
URGENT Challenge: Universality, Robustness, and Generalizability For Speech Enhancement—0
Multi-Stage Speech Bandwidth Extension with Flexible Sampling Rate ControlCode2
A Diffusion-Based Generative Equalizer for Music RestorationCode2
Towards High-Quality and Efficient Speech Bandwidth Extension with Parallel Amplitude and Phase PredictionCode2
Speech-dependent Modeling of Own Voice Transfer Characteristics for In-ear Microphones in Hearables—0
VRDMG: Vocal Restoration via Diffusion Posterior Sampling with Multiple Guidance—0
Explicit Estimation of Magnitude and Phase Spectra in Parallel for High-Quality Speech EnhancementCode2
An Improved Metric of Informational Masking for Perceptual Audio Quality Measurement—0
Blind Audio Bandwidth Extension: A Diffusion-Based Zero-Shot Approach—0
UnDiff: Unsupervised Voice Restoration with Unconditional Diffusion Model—0
Configurable EBEN: Extreme Bandwidth Extension Network to enhance body-conducted speech captureCode1
Native Multi-Band Audio Coding within Hyper-Autoencoded Reconstruction Propagation Networks—0
Self-FiLM: Conditioning GANs with self-supervised representations for bandwidth extension based speaker recognition—0
Objective Assessment of Spatial Audio Quality using Directional Loudness Maps—0
Can we still use PEAQ? A Performance Analysis of the ITU Standard for the Objective Assessment of Perceived Audio Quality—0
AERO: Audio Super Resolution in the Spectral DomainCode2
Analysing Diffusion-based Generative Approaches versus Discriminative Approaches for Speech RestorationCode0
Solving Audio Inverse Problems with a Diffusion ModelCode1
EBEN: Extreme bandwidth extension network applied to speech signals captured with noise-resilient body-conduction microphonesCode5
Receiver Bandwidth Extension Beyond Nyquist Using Channel Bonding—0
Time-domain speech super-resolution with GAN based modeling for telephony speaker verification—0
Training Strategies for Own Voice Reconstruction in Hearing Protection Devices using an In-ear Microphone—0
Bandwidth-Scalable Fully Mask-Based Deep FCRN Acoustic Echo Cancellation and Postfiltering—0
BEHM-GAN: Bandwidth Extension of Historical Music using Generative Adversarial NetworksCode1
Joint domain adaptation and speech bandwidth extension using time-domain GANs for speaker verification—0
Neural Vocoder is All You Need for Speech Super-resolutionCode1
HiFi++: a Unified Framework for Bandwidth Extension and Speech EnhancementCode1
On the relevance of bandwidth extension for speaker identification—0
TUNet: A Block-online Bandwidth Extension Model based on Transformers and Self-supervised PretrainingCode1
Artificial bandwidth extension using deep neural network and H^ sampled-data control theory—0
A Unified Deep Speaker Embedding Framework for Mixed-Bandwidth Speech Data—0
On Filter Generalization for Music Bandwidth Extension Using Deep Neural NetworksCode1
Real-time Speech Frequency Bandwidth Extension—0
適合漸凍人使用之語音轉換系統初步研究 (Deep Neural-Network Bandwidth Extension and Denoising Voice Conversion System for ALS Patients)—0
適合漸凍人使用之語音轉換系統初步研究(Deep Neural-Network Bandwidth Extension and Denoising Voice Conversion System for ALS Patients)—0
Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition—0
Speech bandwidth extension with WaveNet—0
Wavenet based low rate speech codingCode0
Super-Resolution with Deep Convolutional Sufficient StatisticsCode0
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