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FreyaTTS

FreyaTTS TTS

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

0/500 Huānga · Ka whakaingoatia mō te 5,000 ia whakatupuranga →
Whakawhanake mō te tepe o ngā tohu 5,000

Whāriki i tōna kupu i roto i ngā tohu SSML mō te whakahaere tika:

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

E mōhio ana ngā tohu ki te tauira i kōwhiria - ka kōwhiria kia whakawātea tētahi ki roto i tōna kupu i reira ka puta ai:

Ka pānui tēnei tauira i te kupu noa, nā reira ka whakakāhoretia ngā tohu ā-waitara. Mō te āhua o te tohu-taihi, ka huri ki tētahi tauira whakamārama pēnei i a Orpheus, Bark rānei.

Ka tautuhia ngā tohutohu ā-ringa (wāhi = tohutohu):

-12 +12
0.5x 2.0x
Waihoki me Piper, VITS, MeloTTS
Ka puta tēnei te oro i waihangatia e koe. Ka kōwhiria tētahi tauira, ka tāurua te kupu, a, ka kōwhiria te Whakatū.
Kua angitu te whakaputanga oro
0:00
Waihoki i te oro Whakahua.srt Ka ngaro te pānga i roto i te 24h
Tauwhāinga wātea: te whakamahinga whaiaro. Whakawhiwhinga hokohoko mai i te $5/mo
E manakohia ana e TTS.ai? Whakapāpāho ki ōna hoa!

Mo 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.

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

Ka tirohia katoa FreyaTTS ngā oro

I te tirohanga

Ka whakawhanakehia
Freya
Ka taea te whakawātea
Apache 2.0
Karaka
free
Āhuatanga
fast
Whakakōrero reo
Kāore
reo
Turkish
Kāri nui rawa
2000

FreyaTTS ngā oro

Freya (Turkish)

Turkish
Paerewa Female

FreyaTTS TTS - FAQ

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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