Methods › Computer Vision › Generative Adversarial Networks › HiFi-GAN

HiFi-GAN

33 papers tagged archive 2025-07-28

Introduced by Jungil Kong et al. in HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

HiFi-GAN is a generative adversarial network for speech synthesis. HiFi-GAN consists of one generator and two discriminators: multi-scale and multi-period discriminators. The generator and discriminators are trained adversarially, along with two additional losses for improving training stability and model performance.

The generator is a fully convolutional neural network. It uses a mel-spectrogram as input and upsamples it through transposed convolutions until the length of the output sequence matches the temporal resolution of raw waveforms. Every transposed convolution is followed by a multi-receptive field fusion (MRF) module.

For the discriminator, a multi-period discriminator (MPD) is used consisting of several sub-discriminators each handling a portion of periodic signals of input audio. Additionally, to capture consecutive patterns and long-term dependencies, the multi-scale discriminator (MSD) proposed in MelGAN is used, which consecutively evaluates audio samples at different levels.

PaperSource

Papers archive 2025-07-28

30 shown of 33, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

20 shown of 61 tasks the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Speech Synthesis16
Text to Speech13
text-to-speech13
Text-To-Speech Synthesis7
Voice Conversion6
Generative Adversarial Network5
Audio Generation3
Decoder3
Automatic Speech Recognition (ASR)2
CPU2
Self-Supervised Learning2
Speaker Verification2
Speech Enhancement2
Speech Recognition2
Voice Cloning2
speech-recognition2
Automatic Speech Recognition1
Bandwidth Extension1
Beat Tracking1
Data Augmentation1

Usage over time archive 2025-07-28

Papers per year tagged with HiFi-GAN: 2020 to 2025, peak 11 11 0 2020: 1 paper 2020 2021: 2 papers 2021 2022: 10 papers 2022 2023: 11 papers 2023 2024: 8 papers 2024 2025: 1 paper 2025
Papers per year the archive tags with this method, by the paper's archive date (33 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Generative Adversarial NetworksGenerative Audio Models

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