Tags y deall y model dewisiedig - cliciwch i daflu un i' ch testun lle mae' n digwydd:
Mae'r model yma yn darllen testun plaen, felly anwybyddir tagiau mewnlin. I ddelweddu teimlad yn seiliedig ar dagiau, newidiwch i ddelweddu mynegiant fel Orpheus neu Bark.
Cynghorion dosbarthu iaith naturiol. Yn cael eu cydnabod gan Qwen3-TTS heddiw; mae modelau mynegiant eraill yn dod yn fuan.
Nid yw'r model hwn yn cynnal cyfarwyddiadau arddull - newid i ddull sy'n gwneud hynny (e.e. Qwen3-TTS).
Diffinio ynganiad addasiedig (gair = ynganiad):
-12
+12
Rheoli mynegiant (0 = niwtral, 1 = yn fawr iawn)
Pwysau cyfarwyddyd di-gyfeiriadur (uwch = mwy o ganlyniadau)
Disgrifio'r arddull llais mewn iaith naturiol (Parler yn defnyddio hwn yn lle llais rhagosodedig)
Fformat Ymgom Dia: Defnyddiwch y tagiau [S1] a [S2] i nodi siaradwyr gwahanol. Enghraifft: [S1] Helo! [S2] Helo, sut ydych chi?
FreyaTTS-small is a 183-million-parameter model built for one language and built well. It is a non-autoregressive conditional flow-matching diffusion transformer that reads Turkish directly at the character level — 92 symbols, no phonemizer and no grapheme-to-phoneme stage, which removes a whole class of mispronunciation that pronunciation dictionaries introduce. It generates in a frozen AudioVAE2 latent space and decodes to 48 kHz mono, more than double the sample rate of the piper Turkish voice, so the output carries treble detail that a 22 kHz model simply cannot represent. On the Freya-TR-Eval benchmark it reaches 8.0% word error rate, placing it ahead of both XTTS-v2 and F5-TTS among open sub-billion-parameter Turkish systems, and it runs fast enough for real-time use at roughly a tenth of real time.
Gorau ar gyfer: Turkish narration, voice agents, and any Turkish audio that needs high sample-rate output
It was trained from scratch on Turkish speech alone rather than adapted from a multilingual model. Specialising lets a 183M-parameter model compete with far larger multilingual systems on Turkish, but it means the model has no ability to read other languages — requests in another language are rejected rather than mispronounced.
Most open TTS models emit 22.05 kHz or 24 kHz, which caps reproducible audio at around 11-12 kHz and audibly dulls sibilants. FreyaTTS decodes to 48 kHz, the standard sample rate for video and broadcast, so its output drops into a production timeline without upsampling.
No. FreyaTTS has a single fixed speaker and does not support cloning. For a cloned Turkish voice use one of our zero-shot cloning models instead.
Many TTS systems first convert text into phonemes using a pronunciation dictionary, and anything missing from that dictionary — new words, names, loanwords — gets guessed. FreyaTTS reads the characters themselves, so Turkish spelling, which is highly regular, maps to sound without that lossy middle step.
