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Ndesịta ihenhọrọ ndị ahụ

Open Source Text to Speech Models

TTS model ọ bụla na anyị platform bụ open source, na ọtụtụ na-eji MIT ma ọ bụ Apache 2.0. Models na ụda ndị ọzọ na-enye ikike maka ọrụ na-enweghị ọrụ na-enweghị ọrụ na-enweghị ọrụ na-enweghị ọrụ. Jiri ha site na API anyị na-ahụ maka, ma ọ bụ na-ahụ maka ha na ntọala gị na nchịkwa zuru oke.

Ónyénwē ônyénwē MIT License Apache Òtù GitHub
Onyenhọrọ TTS zuru ezu Dọkumenti

Jiri ya ugbua

0/500
Free na Kokoro, Piper, VITS, MeloTTS
Ọdịdị gị ga-egosipụta ebe a
E mepụtara
0:00
Bubata
Ị hụrụ TTS.ai? Kpọtụrụ enyi gị!
Mepee mmegharị TTS zuru ezu

Open Source TTS Benefits

Gịnị mere open-source models ji dị mkpa maka ọrụ gị

All Open-Source Licensed

Model ọbụla na TTS.ai bụ oghe isi, na model ọbụla peeji nke na-egosi ikike ya. Enweghị ọbụla blackboxes na ọbụla vendor lock-in.

Ónyénwē ōnyénwē

Ụfọdụ n'ime móòdù ndị ahụ bụ ndị a na-enye ikike n'okpuru MIT mọọbụ Apache 2.0. Otú ọ dị, ụfọdụ na-eji ikike ndị ọzọ, nakwa móòdù mọọbụ ụda ndị a na-enye ikike maka ojieme na-enweghị n'ọrụ na-egosi "Oji nkeonwe na ojimụ na-enweghị n'ọrụ".

Òtù

Wepụ ụdị ọbụla ma rụọ ya na haadịrọdị gị. Nlekọta zuru ezu n'elu data gị, latency, na infrastuktọ. Enweghị mkpado cloud.

GPU nke emelitere

Models bụ ndị a rụpụtara maka NVIDIA GPUs na CUDA nkwado. Piper na-arụ ọrụ na CPU naanị. Models ndị kasị ukwuu chọrọ 2-8GB VRAM maka nghọta dị mma.

Nhazi

Ndị ọrụ na-arụ ọrụ na-arụ ọrụ na-arụ ọrụ na-arụ ọrụ na-arụ ọrụ na-arụ ọrụ na-arụ ọrụ na-arụ ọrụ na-arụ ọrụ na-arụ ọrụ na-arụ ọrụ.

Nkwekọrịta ikike ahụ dị

A na-akwụ ụgwọ n'ime $5/mo na-eburu ikike n'ime ụlọ maka ihe ị na-eme, na-enweghị nkwụghachi ma ọ bụ ụgwọ iji; n'efu, ọ bụ maka iji onwe gị. Models na ụda ndị a na-egosi "Ndị mmadụ na-ejighị n'aka na-ejide onwe gị" bụ ndị a na-ewepụ.

Open Source Model Catalog

Model ọbụla, ikike ya, na ihe ọ na-eme ka ọ bụrụ ihe kacha mma

KokoroKokoro

Free

Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.

Nhazi 5/5

Ọkachasị maka: Apache 2.0 - kacha mma nkwalite free model, 82M params, mfe ka self-host

Nwapụta Kokoro

PiperPiper

Free

A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.

Nhazi 3/5

Ọkachasị maka: MIT - CPU-ọbụla, zuru ezu maka ngwaọrụ edge na embedded self-hosting

Nwapụta Piper

VITSVITS

Free

Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.

Nhazi 3/5

Ọkachasị maka: MIT — ntọala architecture ejirila site n'ọtụtụ downstream models

Nwapụta VITS

BarkBark

Standard

Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.

Ónyénwē 4/5

Ọkachasị maka: MIT — ikikembanye ụda emeredịkachọrọ n'okpuru ụkpụrụ TTS

Nwapụta Bark

Tortoise TTSTortoise TTS

Premium

Multi-voice text-to-speech focused on quality with autoregressive architecture.

Ónyénwē 5/5 Klọnsị ụda

Ọkachasị maka: Apache 2.0 - ogo kacha nta, n'ụzọ zuru ezu chọpụtara ihenlereanya mmepe

Nwapụta Tortoise TTS

OpenVoiceOpenVoice

Premium

Instant voice cloning with granular control over style, emotion, and accent.

M_edia 4/5 Klọnsị ụda

Ọkachasị maka: MIT - okporo-ọnụ na-ebuli elu na nlekọta ụda na-akpụchaghị akpụchaghị

Nwapụta OpenVoice

Otu esi eji Open Source TTS

Jiri anyị hosted API mọọbụ rụọ usoroiheomume gị onwe gị

1

Nwalee Open-Source Models

Browse anyị catalog nke 20+ open-source TTS models. Model page ọ bụla na-egosi ikike, architecture, ikike, na self-hosting chọrọ.

2

Jiri nchọgharị gị

Tụlee ụdị ọ bụla n'ụzọ ziri ezi na TTS.ai na-enweghị ịwụnye ihe ọ bụla. Ndị ọrụ GPU anyị na-ejikwa usoro ihe omume ka ị nwee ike ịtụle ogo tupu ị banye na self-hosting.

3

Self-Host ma ọ bụ jiri API anyị

Clone model repos site na GitHub ma rụọ ọrụ na mpaghara, ma ọ bụ jiri anyị hosted API maka mmepụta. Self-hosting na-enye nlekọta zuru oke; API anyị na-enye ntọala njikwa.

4

Kewapụta usoroiheomume gị

N'ime TTS na-eji ihe gị na-eji onwe-n'ụlọ model ma ọ bụ anyị REST API. Nnyochaa model ọ bụla license mbụ: ụfọdụ models na ụda bụ maka non-commercial ọrụ naanị.

Ndekọ ikikembanye aha

Laịsịịsa nke móòdù ọbụla na TTS.ai

Móòdù Ikikere Ọrụ ọhaneze Ndezigharị Ụlọọrụ onwe ya Nkọwapụta
Kokoro Apache 2.0 Ekwesịrị
Piper MIT engine; ikikembanye ụda dị iche Ónyénwē ụfọdụ̀ Nhọrọ
VITS MIT Nhọrọ
MeloTTS MIT Nhọrọ
Chatterbox MIT Nhọrọ
Tortoise TTS Apache 2.0 Ekwesịrị
StyleTTS 2 MIT Nhọrọ
OpenVoice MIT Nhọrọ
Sesame CSM Apache 2.0 Ekwesịrị
Orpheus Llama 3.2 "Built with Llama"
Spark TTS CC BY-NC-SA 4.0 Oge ọrụ nkeonwe na nke na-abụghị nke azụmahịa Ekwesịrị
OuteTTS CC BY-NC-SA 4.0 Oge ọrụ nkeonwe na nke na-abụghị nke azụmahịa Ekwesịrị
Jiri ụdị ndị a n'efu

Self-Hosting vs Hosted API

Bido móòdù gị ma ọ bụ hapụ anyị ka anyị rụzigharịa inlọọrụ ahụ

Self-Host na haịdrọịd gị

Model ọ bụla na TTS.ai dị ka ọbịbịa ọbịbịa na GitHub ma ọ bụ Hugging Face. Download the weights, install the dependencies, and run inference on your own GPUs. You have full control over latency, privacy, and scaling.

  • Nchekwa data zuru ezu - ụda agaghị ahapụ sava gị
  • Enweghị ọnụọgụgụ n'ihi arịrịọ mgbe ntọala mbụ
  • Nhazi nkeonwe na data gị
  • GPU ọfụụ (NVIDIA na-atụ aro)
  • I nwere ike ijikwa mmelite, mmegharị, na ndozi

Jiri TTS.ai Hosted API

Nweta ohere n'oge na-adịghị anya na ụdị 20+ niile site na API REST dị iche iche. Anyị na-elekọta GPU provisioning, model updates, queue management, na scaling. API key na-enye gị ohere ịnweta ụdị ọ bụla - enweghị mkpa ịchịkwa nrụpụta dị iche iche.

  • Enweghị GPU haịdrọịd chọrọ
  • 20+ niile model site na otu API
  • Nhazigharị na mmelite nkeonwe nke móòdù
  • 99.9% uptime na redundant infrastructure
  • Zụlite naanị maka ihe ị na-eji
Jiri Hosted API na-eji ya

Nhazi

Jiri API anyị nọnyeere, mọọbụ tinye Kokoro na mpaghara ebe ahụ n'ime nkeji

Nhọrọ 1: TTS.ai Hosted API Nnọọ 
import requests

response = requests.post("https://api.tts.ai/v1/tts", json={
    "text": "Open source TTS with a simple API.",
    "model": "kokoro",
    "voice": "af_heart",
    "format": "wav"
}, headers={"Authorization": "Bearer YOUR_API_KEY"})

with open("output.wav", "wb") as f:
    f.write(response.content)
Nhọrọ 2: Self-Host na pip Nlekọta zuru ezu 
# Install Kokoro locally
pip install kokoro

# Generate speech on your own GPU
import kokoro

pipeline = kokoro.KPipeline(lang_code="a")
generator = pipeline("Hello from your own server!", voice="af_heart")
for i, (gs, ps, audio) in enumerate(generator):
    kokoro.save(audio, f"output_{i}.wav")
Gosi dọkumenti API

Open Source, Atụmatụ Atụmatụ

Anyị na-echekwa API na-eme ka okporo ụzọ TTS dị mfe iji na-enweghị ịchịkwa GPUs.

Nhazi

$0

15,000 characters on signup

  • 4 open-source models free
  • Enweghị ndebanye maka ojiji okpuru
  • Oge ọrụ onwe onye, ọ bụghị nke azụmahịa

Nhazi

$9

500,000 characters/month

  • 20+ niile ohuru-source models
  • Nhazi ụda
  • Nbanye API

Pro

$29

2,000,000 characters/month

  • Nhazi GPU nke n'ihu
  • Models niile
  • Nnyemaka Enterprise
Gosi ọnụahịa zuru ezu

Ajụjụ ndị a na-ajụkarị

Ajụjụ ndị a na-ajụkarị banyere ngwe oghe-esonụ ka okwu

Ee, ọbụla model na TTS.ai bụ oghe-isi, na ọtụtụ na-eji MIT mọọbụ Apache 2.0. Otú ọ dị, ụfọdụ na-eji ndị ọzọ lizensị, gụnyere ụfọdụ lizensị maka ọrụ na-enweghị n'aka, nke a na-egosi "Ndị mmadụ na ọrụ na-enweghị n'aka" na onyenhọrọ ụda. Ihu ọbụla model na-egosi lizensị ya.

Ha abụọ bụ ndị na-enye ikike maka isi mmalite mepere emepe na-enye ohere iji ọrụ azụmahịa, mgbanwe, nakwa ntụgharị. Apache 2.0 na-egbakwunye ikike patent na-egosi na-achọ ịkọwa mgbanwe ma ọ bụrụ na ịgbanwee koodị. MIT dị mfe na ihe ndị dị mkpa. Ha abụọ bụ ndị na-enye aka n'ọrụ.

Ee. Model ọbụla nwere ike ịbụ self-hosted. Clone model repository site na GitHub, wụnye dependencies, budata model weights, na rụọ inference. Anyị na-enye ntinye akwụkwọ maka ihe ndị chọrọ nke model ọbụla nke self-hosting gụnyere GPU, RAM, na Python version.

Achọrọ dị iche iche site na ụdị. Piper chọrọ GPU ọ bụla (CPU naanị). Kokoro na MeloTTS chọrọ 1-2GB VRAM. Ụfọdụ ụdị ụkpụrụ chọrọ 4GB VRAM. Tortoise na Sesame CSM chọrọ 8GB. A NVIDIA RTX 3060 (12GB) nwere ike ịgagharị ọtụtụ ụdị n'ụzọ dị mfe.

Ee. Open-source licenses na-ahapụ mmegharị na-agụnye nnweta-nweta. Models dị ka GPT-SoVITS na Bark na-enye nnweta-nweta isiokwu. I nwere ike ịkụziri model na data ụda gị ka ịmepụta ụda emeredịkachọrọ mọọbụ melite ọrụ maka asụsụ emeredịkachọrọ.

Top open-source models (Kokoro, StyleTTS 2, Chatterbox) ugbu a dị ka ma ọ bụ karịa ọrụ azụmahịa dị ka ElevenLabs na Google TTS na benchmarks dị mma. Atụmatụ kachasị nke ọrụ azụmahịa bụ mmepe na nkwado, ọ bụghị ụda.

E wepụrụ ụfọdụ: XTTS/XTTS-v2 (Coqui's CPML, non-commercial), F5-TTS (CC-BY-NC, non-commercial) na Higgs-v2 (Boson License, restrictive). Otú ọ dị, ụfọdụ mólèlụ̀ na ụda ndị dị ka Spark TTS, OuteTTS na ụda Piper ndị ọzọ, bụ ndị a akwụla ụgwọ maka ojiji na-enweghị n'ọrụ; ha akọwapụtara "Oji na-enweghị n'ọrụ" na onye họrọ ụda, yabụ jiri ụda dị iche maka ọrụ na-enweghị n'ọrụ.

Ee. Models ndị kasị ukwuu na-anabata mmepe nke obodo site na GitHub. I nwere ike ịnye ndepụta nsogbu, ndekọ olu maka asụsụ ọhụrụ, mmelite koodu, na dọkumenti. Gụọ model ọbụla's GitHub repository maka ntuziaka mmepe na nsogbu na-arụ ọrụ.

Load models on demand and unload when idle to share GPU memory. Our GPU server runs 20+ models on 4x Tesla P40 (96GB total VRAM) using dynamic loading. For self-hosting, a single 24GB GPU can serve 3-5 models concurrently.

Modelsdị ọtụtụ na-enye Docker ngosi ma ọ bụ Dockerfiles. Maka ịrụ ọrụ ụdị dị iche iche, ị nwere ike ịmepụta Docker emeredịkachọrọ na NVIDIA Container Toolkit maka GPU access. API server architecture anyị nwere ike ịrụ ọrụ dịka nrụnye ntọala.

Models ndị kasị mkpa Python 3.10-3.12. Coqui TTS (VITS) na-achọ Python 3.11. Anyị na-atụ aro Python 3.12 maka ọtụtụ models. Chekwaa requirements.txt nke model ọ bụla maka n'eziokwu nke nsụgharị.

Ọ bụrụ na ị na-echekwa onwe gị, ọ bụ eziokwu: MIT na Apache 2.0 ikike na-enye ohere iji ọrụ azụmahịa, na ọtụtụ ụdị ebe a na-eji ha, yabụ ị nwere ike ịmepụta SaaS ngwaahịa, ngwa ngwa mobile, egwuregwu na ọrụ na-enweghị ụgwọ nkwekọrịta ma ọ bụ royalties. Kpọtụrụ ikike na ibe ụdị ọ bụla n'oge mbụ, n'ihi na ụfọdụ ụdị na ụda bụ ndị na-enweghị nkwekọrịta. Audio ejiri na TTS.ai onwe ya na-eso usoro gị: iji onwe gị na free tier, iji azụmahịa na usoro ọ bụla.
5.0/5 (1)

Gịnị ka anyị ga-eme ka ọ dịrị mma? Ntụziaka gị na-enyere anyị aka idozi nsogbu.

Jiri TTS oghe emeredịkachọrọ taa

20+ open-source models, nke ọ bụla na-enye ikike ya. Jiri API anyị ma ọ bụ self-host, nhọrọ bụ gị.

Akaụntụ Gosi ọnụahịa