Dialect-native voices
Multi-dialect speech today, each with native rhythm and vowel color, not a re-accented standard.
mithal builds Natiq: an Arabic voice model that turns text into natural speech and transcribes it back - across Masri, Khaleeji, Hijazi and MSA, each with its own vowels, rhythm and sound.
Pre-rendered samples — nothing is generated live here.
كان العمل اليوم مزدحمًا جدًا، كان لديّ اجتماع تلو الآخر، ولم أتمكن حتى من أخذ استراحة.
Multi-dialect speech today, each with native rhythm and vowel color, not a re-accented standard.
Capture a speaker from a few seconds of reference audio with the speaker encoder.
Reads bare, undiacritized text and infers the vowels the way a native speaker would.
Moves between Arabic and English mid-sentence without breaking prosody or pace.
CFG scale, candidates, and sampling controls. Real parameters, not one quality slider.
Tokenization, conditioning, and evaluation choices shaped around Arabic rather than inherited from a general multilingual system.
Write in Arabic, choose a dialect and voice, then shape the result from one focused interface.
أهلًا بيكم، دي أول مرة تسمعوا فيها صوت ناطق باللهجة المصرية.
Natiq infers the missing vowels from context, then says the sentence the way a native speaker would.
العِلْمُ نورٌ يهدي صاحبَه إلى الحقيقة.
رُفِعَ العَلَمُ عاليًا فوق السارية.
عَلَّمَ المعلمُ تلاميذَه بصبرٍ وحبّ.
الكلام المصري له إيقاع خاص ومميّز جدًا.
A short introduction to dialect-native Arabic speech, presented in Arabic.
Our first model is Natiq: an Arabic speech system developed around the language as it is actually spoken—across dialects, registers, and mixed-language use.