FreyaTTS

FreyaTTS TTS

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

Aanmelden voor 5.000 tekenlimiet

Wrap uw tekst in SSML-tags voor nauwkeurige controle:

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

Tags het geselecteerde model begrijpt

Dit model leest platte tekst, dus inline tags worden genegeerd. Voor emotie op basis van tags, schakel naar een expressief model zoals Orpheus of Bark.

Definieer aangepaste uitspraaken (woord = uitspraak):

-12 +12
0.5x 2.0x
Gratis met Piper, VITS, MeloTTS
Uw gegenereerde audio zal hier verschijnen. Kies een model, voer tekst in en klik op Genereren.
Audio Generated Succesvol
0:00
Audio downloaden Download.srt Link verloopt in 24 uur
Gratis niveau: persoonlijk gebruik. Commerciële licentie van $5/mo
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Info 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.

Beste voor: Turkish narration, voice agents, and any Turkish audio that needs high sample-rate output

Alles doorbladeren FreyaTTS stemmen

In een oogopslag

Ontwikkelaar
Freya
Licentie
Apache 2.0
Niveau
free
Snelheid
fast
Klonen van stemmen
Nee
Talen
Turkish
Max. tekens
2000

FreyaTTS stemmen

Freya (Turkish)

Turkish
Standaard Female

FreyaTTS Veelgestelde vragen

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.
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