FreyaTTS

FreyaTTS TTS

A compact Turkish text-to-speech model that outputs 48 kHz audio without a phonemizer.

Izena eman 5.000 karaktereko muga

Itzulbiratu zure testua SSML etiketetan kontrol zehatzagoa lortzeko:

<speak><prosody rate="slow">Slow speech</prosody></speak>

Hautatutako modeloak ulertzen dituen etiketak — egin klik testuan jartzeko:

Eredu honek testu arrunta irakurtzen du, beraz, lerro-barneko etiketei ez zaie jaramonik egiten. Etiketetan oinarritutako emozioetarako, aldatu Orpheus edo Bark bezalako adierazpen-modelo batera.

Definitu ahoskera pertsonalizatuak (hitza = ahoskera):

-12 +12
0.5x 2.0x
Librea Piper, VITS, MeloTTS-ekin
Zure sortutako audioa hemen agertuko da. Aukeratu modelo bat, idatzi testua eta egin klik Sortu botoian.
Audioa behar bezala sortu da
0:00
Deskargatu audioa Deskargatu.srt Esteka 24 ordutan iraungiko da
Librea: erabiltzaile pribatuentzat. Lizentzia komertziala $5/mo-tik
Maite TTS.ai? Esan zure lagunei!

Honi buruz FreyaTTS

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.

Honako hauentzako onena: Turkish narration, voice agents, and any Turkish audio that needs high sample-rate output

Arakatu dena FreyaTTS ahotsak

Begirada batean

Garatzailea
Freya
Lizentzia
Apache 2.0
Tier
free
Abiadura
fast
Ahots klonaketa
Ez
Hizkuntzak
Turkish
Gehienezko karaktereak
2000

FreyaTTS ahotsak

Freya (Turkish)

Turkish
Lehenetsia Female

FreyaTTS TTS — Galdera ohikoenak

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.
← Ahots guztiak