arXiv (All)
open access
Training-Free Pronunciation Transcription via Text-Constrained Acoustic Rescoring
Accurate and efficient pronunciation transcription is essential for preparing text-to-speech training data at scale. Existing approaches have different limitations: grapheme-to-pronunciation (G2P) and speech-to-pronunciation (S2P) methods each capture only partial information, using only text or onl
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
- Extracting Voice Styles from Frozen TTS Models via Gradient-Based Inverse Optimization#974509
- Taming Long-form Text-to-Speech#1123396
- PilotTTS: A Disciplined Modular Recipe for Competitive Speech Synthesis#229534
- StreamWSR: Streamable and Lightweight Waveform-Domain Neural Speech Super-Resolution#926305
- KoALa-Bench: Evaluating Large Audio Language Models on Korean Speech Understanding and Faithfulness#798860
Record · ID 1105483
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