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FreyaTTS

FreyaTTS Mga TNT

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

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I-wrap ang iyong teksto sa SSML tags para sa tumpak na kontrol:

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

Tags ang napili modelo nauunawaan — i-click upang ihulog ang isa sa iyong teksto kung saan ito ay nangyayari:

Ang modelong ito ay nagbabasa ng karaniwang teksto, kaya inline tags ay hindi pinapansin. Para sa tag-based na damdamin, lumipat sa isang makahulugang modelo tulad ng Orpheus o Bark.

Tukuyin ang mga pasadyang mga panlapi (word = panlapi):

-12 +12
0.5x 2.0x
Libreng may Piper, VITS, MeloTTS
Ang iyong ginawang audio ay lilitaw dito. Pumili ng modelo, ipasok ang teksto, at i-click ang Bumuo.
Audio nabuo Matagumpay
0:00
I-download ang Audio I-download ang.srt Link expires sa 24h
Free tier: personal na paggamit. Komersyal na lisensya mula sa $5/buwan
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Tungkol sa 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.

Pinakamahusay para sa: Turkish narration, voice agents, and any Turkish audio that needs high sample-rate output

Mag-browse ng lahat FreyaTTS Mga boses

Sa isang sulyap

Developer
Freya
Lisensya
Apache 2.0
Mga hayop
free
Bilis
fast
Pag-clone ng boses
Hindi
Wika
Turkish
Max character
2000

FreyaTTS Mga boses

Freya (Turkish)

Turkish
Pangkalahatang Female

FreyaTTS Mga katanungan at sagot

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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