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Audio Super-Resolution

4개 벤치마크 · 논문 28편 · 이 태스크의 논문 보기 →

Benchmarks

VCTK Multi-Speaker

결과 21개

Piano

결과 9개

DSD100

결과 3개

Most implemented

Papers

FastWave: Optimized Diffusion Model for Audio Super-Resolution

2026-03-04 · Nikita Kuznetsov, Maksim Kaledin arxiv

Audio Super-Resolution is a set of techniques aimed at high-quality estimation of the given signal as if it would be sampled with higher sample rate. Among suggested methods there are diffusion and flow models (which are…

Audio Super-Resolution

Discriminating real and synthetic super-resolved audio samples using embedding-based classifiers

2026-01-06 · Mikhail Silaev, Konstantinos Drossos, Tuomas Virtanen arxiv

Generative adversarial networks (GANs) and diffusion models have recently achieved state-of-the-art performance in audio super-resolution (ADSR), producing perceptually convincing wideband audio from narrowband inputs. H…

Audio Super-Resolution

HQ-SVC: Towards High-Quality Zero-Shot Singing Voice Conversion in Low-Resource Scenarios

2025-11-11 · Bingsong Bai, Yizhong Geng, Fengping Wang, Cong Wang 외 arxiv

Zero-shot singing voice conversion (SVC) transforms a source singer's timbre to an unseen target speaker's voice while preserving melodic content without fine-tuning. Existing methods model speaker timbre and vocal conte…

Audio Super-ResolutionVoice Conversion

UniverSR: Unified and Versatile Audio Super-Resolution via Vocoder-Free Flow Matching

2025-10-01 · Woongjib Choi, Sangmin Lee, Hyungseob Lim, Hong-Goo Kang arxiv

In this paper, we present a vocoder-free framework for audio super-resolution that employs a flow matching generative model to capture the conditional distribution of complex-valued spectral coefficients. Unlike conventi…

Audio Super-Resolution

Audio Super-Resolution with Latent Bridge Models

2025-09-22 · Chang Li, Zehua Chen, Liyuan Wang, Jun Zhu arxiv

Audio super-resolution (SR), i.e., upsampling the low-resolution (LR) waveform to the high-resolution (HR) version, has recently been explored with diffusion and bridge models, while previous methods often suffer from su…

Audio Super-Resolution

Inference-time Scaling for Diffusion-based Audio Super-resolution

2025-08-04 · Yizhu Jin, Zhen Ye, Zeyue Tian, Haohe Liu 외 arxiv

Diffusion models have demonstrated remarkable success in generative tasks, including audio super-resolution (SR). In many applications like movie post-production and album mastering, substantial computational budgets are…

Audio Super-Resolution

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