arXiv (OAI Expanded)
open access
PhaseGAN: High-Fidelity Vocoder via Decoupled Amplitude and GAN-Driven Phase Reconstruction
A vocoder is a pivotal component of modern text-to-speech (TTS) systems. Despite the significant progress of neural network-based vocoders, accurate phase reconstruction remains the main challenge limiting both audio quality and modeling efficiency. We introduce PhaseGAN, a lightweight vocoder that
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- mmWave Radar Aware Dual-Conditioned GAN for Speech Reconstruction of Signals With Low SNR#614935
- mmWave Radar Aware Dual-Conditioned GAN for Speech Reconstruction of Signals With Low SNR#613968
- From Reliable Text to Real Voices: Trust-Aware Progressive Adaptation for Low-Resource TTS#1061856
- A Frequency-Domain Artificial Reverberator Plug-In#780993
- A Frequency-Domain Artificial Reverberator Plug-In#779618
Record · ID 1070367
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive