FreyaTTS

FreyaTTS TTS

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

Kulembetsa for 5,000 characters limit

Wrap wanu malemba mu SSML tags kwa kuwongolera moyenera:

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

Tags chosankhidwa chitsanzo amamvetsa - dinani kuti aphe mmodzi m'mawu anu pamene chimachitika:

Izi ndi njira yolemba malemba oyera, kotero ma tag ophatikizidwa amasiya kuganiziridwa. Kuti mupange ma tag ogwirizana ndi maganizo, gwiritsani ntchito njira yolemba malemba monga Orpheus kapena Bark.

Define custom pronunciations (word = pronunciation):

-12 +12
0.5x 2.0x
Free ndi Piper, VITS, MeloTTS
Audio yanu yopangidwa idzawonekera pano. Sankhani mtundu, lemba mawu, ndipo dinani Kupanga.
Audio Yapangidwa Mofulumira
0:00
Pangani Audio Pezani.srt Kugwirizana kumatha mu 24h
Free tier: kugwiritsa ntchito kwa munthu. Lisensi yamalonda kuchokera ku $ 5 / mo
Kukonda TTS.ai? udzauza anzanu!

Za 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.

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

Pezani zonse FreyaTTS maganizo

Pa mphindi

Wopanga
Freya
License
Apache 2.0
Mtundu
free
Kuyenda
fast
Kusintha kwa mawu
Si
Zilankhulo
Turkish
Max characters
2000

FreyaTTS maganizo

Freya (Turkish)

Turkish
Choyambirira Female

FreyaTTS TTS — Mafunso Ofala

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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