arXiv (All)
open access
From Reliable Text to Real Voices: Trust-Aware Progressive Adaptation for Low-Resource TTS
Low-resource text-to-speech (TTS) adaptation is constrained by scarce paired data and costly manual transcription. Existing fixed-voice TTS systems can provide relatively accurate pronunciation, but their synthetic speech offers limited speaker diversity and may exhibit flat prosody. Real recordings
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
- VOSSA: Voiceprint Optimization for Streaming Speech Architectures#1143488
- Multi-Dimensional Prosody Judgment For Live Streaming Speech Synthesis#1033899
- Extracting Voice Styles from Frozen TTS Models via Gradient-Based Inverse Optimization#974509
- Alignment-Free Text-Audiobox for Voice Dubbing and Full-Duplex Dialogue Synthesis#926846
- ZipCodec: Ultra-Low-Frame-Rate Streaming Speech Coding#999342
Record · ID 1061856
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