Tag kang dipahami model kang dipilih — klik kanggo ngethok siji menyang teks sampeyan ing ngendi iku kedadeyan:
Model ieu maca teks biasa, jadi tag inline diabaikan. Pikeun emosi dumasar tag, ganti ka model ekspresif kayaning Orpheus atawa Bark.
Cues pangiriman basa alami. Dihormat ku Qwen3-TTS ayeuna; model ekspresif séjénna bakal datang.
Model ieu henteu ngadukung instruksi gaya — ganti kana model anu ngadukung (contona Qwen3-TTS).
Nyathet pangucapan standar (kata = pangucapan):
-12
+12
Ngontrol ekspresifitas (0 = netral, 1 = banget ekspresif)
Beban panuntun tanpa klasifikator (luwih dhuwur = luwih nuntun)
Nyathet gaya swara nganggo basa alami (Parler nggunakake iki tinimbang swara sing ditetepake)
Формат диалога: Gunake tag [S1] lan [S2] kanggo nyambungake pamicara sing beda. Conto: [S1] Halo! [S2] Halo, apa kabarmu?
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.
Paling apik kanggo: Turkish narration, voice agents, and any Turkish audio that needs high sample-rate output
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.
Ngetik alamat surélék anjeun pikeun terus ngahasilkeun basa gratis, atanapi ngadaptar pikeun 15.000 karakter bonus.
Ora perlu tembung sandhi — kita bakal ngirim link kanggo ngganti tembung sandhi mengko.
Ambang Lapisan Bebas Dicapai
Anjeun geus dipaké 5,000 karakter bébas poéan anjeun. Nyiptakeun akun bébas pikeun meunangkeun 15,000 karakter bonus plus 10,000 karakter bébas unggal bulan.
