FreyaTTS

FreyaTTS TTS

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

Irreġistra issa għal 5,000 karattru limitu

Wrap test tiegħek fil-tags SSML għall-kontroll preċiż:

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

Tags li l-mudell magħżul jifhem — ikklikkja biex tqiegħed waħda fit-test tiegħek fejn jiġri:

Dan il-mudell jaqra test sempliċi, għalhekk it-tags inline huma injorati.Għal emozzjoni bbażata fuq it-tag, aqleb għal mudell espressiv bħal Orpheus jew Bark.

Iddefinixxi pronunzji tad-dwana (kelma = pronunzja):

-12 +12
0.5x 2.0x
Ħieles ma Piper, VITS, MeloTTS
L-awdjo iġġenerat tiegħek se jidher hawnhekk. Agħżel mudell, daħħal it-test, u kklikkja Iġġenera.
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Niżżel l-awdjo Niżżel.srt Il-link tiskadi f'24 siegħa
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Dwar 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.

L-aħjar għal: Turkish narration, voice agents, and any Turkish audio that needs high sample-rate output

Ibbrawżja kollox FreyaTTS vuċijiet

Daqqa t'għajn

Żviluppatur
Freya
Liċenzja
Apache 2.0
Annimali
free
Veloċità
fast
Klonazzjoni tal-vuċi
Nru
Lingwi
Turkish
Karattri massimi
2000

FreyaTTS vuċijiet

Freya (Turkish)

Turkish
Standard Female

FreyaTTS TTS — Mistoqsijiet Frekwenti

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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