1 citations · 1 across the 4 of their papers we have counts for
4 papers
Beyond Unified Models: A Service-Oriented Approach to Low Latency, Context Aware Phonemization for Real Time TTS
Mahta Fetrat, Donya Navabi, Zahra Dehghanian +2
Lightweight, real-time text-to-speech systems are crucial for accessibility. However, the most efficient TTS models often rely on lightweight phonemizers that struggle with context…
Fast, Not Fancy: Rethinking G2P with Rich Data and Rule-Based Models
Mahta Fetrat Qharabagh, Zahra Dehghanian, Hamid R. Rabiee
Homograph disambiguation remains a significant challenge in grapheme-to-phoneme (G2P) conversion, especially for low-resource languages. This challenge is twofold: (1) creating bal…
LLM-Powered Grapheme-to-Phoneme Conversion: Benchmark and Case Study
Mahta Fetrat Qharabagh, Zahra Dehghanian, Hamid R. Rabiee
Grapheme-to-phoneme (G2P) conversion is critical in speech processing, particularly for applications like speech synthesis. G2P systems must possess linguistic understanding and co…
ManaTTS Persian: a recipe for creating TTS datasets for lower resource languages
Mahta Fetrat Qharabagh, Zahra Dehghanian, Hamid R. Rabiee
In this study, we introduce ManaTTS, the most extensive publicly accessible single-speaker Persian corpus, and a comprehensive framework for collecting transcribed speech datasets…