Persian Ñe'ẽnguéra.:
Ojejapo Persian Ñe'ẽnguérape ñeikumby natural-pe IA ñe'ẽnguéra rehe. 1 ñe'ẽ. Mba'eve'ỹre, ndojehechakuaái - ojeipe'a MP3 térã WAV-ramo.
Ojehaijey ñe'ẽnguéra etiquetas SSML-pe peteĩ control hekopete g̃uarã:
<speak><prosody rate="slow">Slow speech</prosody></speak>
Etiquetas ohechakuaáva modelo ojeporavóva - tesãirã peteĩ peteĩva ñe'ẽnguérape, oĩhápe:
Ko modelo ohai texto ndahasyivéva, upévare umi etiqueta oĩva línea ryepýpe ndojehechakuaái. Umi emoción oñemopyendáva etiqueta-pe g̃uarã, oñemoambue peteĩ modelo expresivo-pe taha'e Orfeo térã Bark.
Oñemohenda ñe'ẽnguéra ojehechapyréva (tembiapo = ñe'ẽnguéra):
Mba'épa Persian Ñe'ẽnguéra.:
Persian text-to-speech has to reconcile a writing system that omits most short vowels: the Perso-Arabic script normally marks only long vowels, so a synthesizer must infer the missing /a/, /e/, /o/ diacritics from context to pronounce a word correctly. The text also runs right-to-left while embedded Latin numerals and loanwords run left-to-right, forcing the engine to handle bidirectional reordering before phonemization. The ezāfe construction — an unwritten linking vowel that binds nouns to their modifiers — is one of the hardest features to predict and a common source of robotic-sounding Persian audio. Good Persian TTS therefore depends as much on grapheme-to-phoneme modeling and diacritization as on the acoustic voice itself.
Techapyrã — فارسی
“تبدیل متن به گفتار فارسی به نرمافزار اجازه میدهد نوشتهها را با صدایی طبیعی و روان بخواند.”
- Téra nativo
- فارسی
- Ñembo'ehára
- ~80 million native speakers
- Idioma aty
- Indo-Iranian (Indo-European)
- Script
- Perso-Arabic (right-to-left)
- Oñe'ẽ
- Iran, Afghanistan (Dari), Tajikistan (Tajik)
