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FreyaTTS

FreyaTTS TTS

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

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Avvolgi il tuo testo nei tag SSML per un controllo preciso:

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

Tags il modello selezionato comprende clic su

Questo modello legge testo semplice, quindi i tag inline vengono ignorati. Per le emozioni basate sui tag, passare a un modello espressivo come Orpheus o Bark.

Definire le pronunciazioni personalizzate (parola = pronuncia):

-12 +12
0.5x 2.0x
Gratis con Piper, VITS, MeloTTS
L'audio generato apparirà qui. Scegli un modello, inserisci testo e fai clic su Genera.
Audio generato con successo
0:00
Scarica audio Scarica.srt Link scade in 24 ore
Livello libero: uso personale. Licenza commerciale da $5/mo
Fai di questo la tua voce Clona una voce in 30 secondi
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Informazioni 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.

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

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A colpo d'occhio

Sviluppatore
Freya
Licenza
Apache 2.0
Livello
free
Velocità
fast
Clonazione vocale
No.
Lingue
Turkish
Caratteri massimi
2000

FreyaTTS voci

Freya (Turkish)

Turkish
Standard Female

FreyaTTS FAQ del TTS

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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