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I-TTS Arena — i-AI Voice Model Leaderboard

Uthelekiso lweemodeli ezingaphezu kwe-20 zokubhala-ukuthetha. Iibenchmarks ezisemthethweni, iindidi zeqela, kunye nothelekiso olusecaleni-nge-ecaleni.

Ubhaliso simahla
Asikho nasiphi na isandi se-TTS kwisiNgesi sakho. Nceda uncedo lwethu ukongeza isandi sakho! Intengiso yelizwi lakho

Uthelekiso lwe Side-by-Side

Ngenisa umbhalo, khetha iimodeli ezimbini, kwaye uthelekise iziphumo. Iimodeli ze-free-tier azidingi i-akhawunti.

Iimodeli ezisimahla zisebenza ngaphandle kwe-akhawunti. Bhalisa 100%

Imodeli yeLeaderboard

# Imodeli I-Ofisi Iqela Ixabiso lakho Isantya I-Tier
1
Kokoro
Kokoro
Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.
82M 1200h 2024
4.8 /5 5.0 /5
1 ivoti
fast Free
2
CosyVoice 2
CosyVoice 2
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
300M 200000h 2024
4.26 /5 Akukho zivoti
medium Standard
3
Chatterbox
Chatterbox
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
300M 2025
4.25 /5 Akukho zivoti
medium Premium
4
StyleTTS 2
StyleTTS 2
Human-level text-to-speech through style diffusion and adversarial training.
100M 585h 2024
4.23 /5 Akukho zivoti
medium Premium
5
Piper
Piper
A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.
15M 2023
4.15 /5 Akukho zivoti
fast Free
6
MeloTTS
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M 2024
4.13 /5 Akukho zivoti
fast Free
7
Dia TTS
Dia TTS
Multi-speaker dialog generation model that creates natural conversations between speakers.
1.6B 2024
4.09 /5 Akukho zivoti
medium Standard
8
VITS
VITS
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
25M 585h 2021
4.0 /5 Akukho zivoti
fast Free
9
Orpheus
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B 100000h 2025
4.0 /5 Akukho zivoti
medium Standard
10
OpenVoice
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M 2024
4.0 /5 Akukho zivoti
medium Premium
11
IndexTTS-2
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M 2025
3.91 /5 Akukho zivoti
medium Standard
12
Spark TTS
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M 2025
3.9 /5 Akukho zivoti
medium Standard
13
Parler TTS
Parler TTS
Describe the voice you want in natural language and Parler generates matching speech.
880M 45000h 2024
3.83 /5 Akukho zivoti
medium Standard
14
Tortoise TTS
Tortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
400M 50000h 2022
3.7 /5 Akukho zivoti
slow Premium
15
Bark
Bark
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
350M 100000h 2023
3.57 /5 Akukho zivoti
slow Standard
16
Bark Small
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M 100000h 2023
— Akukho zivoti
medium Standard
17
Indic Parler TTS
Indic Parler TTS
High-quality speech for 8+ Indian languages with natural-language voice control.
900M 8000h 2024
— Akukho zivoti
slow Standard
18
KhanomTan TTS
KhanomTan TTS
Thai-first text-to-speech with a choice of speaker voices.
85M 100h 2023
— Akukho zivoti
fast Standard
19
GPT-SoVITS
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M 2024
— Akukho zivoti
slow Standard
20
Qwen3 TTS
Qwen3 TTS
Alibaba's multilingual TTS with preset voices and voice design from text.
1.7B 2025
— Akukho zivoti
medium Standard
21
VieNeu-TTS-v2
VieNeu-TTS-v2
Vietnamese + English code-switching TTS with 7 preset voices and zero-shot voice cloning. CPU-only, no GPU required.
0.3B 10000h 2026
— Akukho zivoti
fast Standard
22
Sesame CSM
Sesame CSM
Conversational speech model generating natural dialogue with appropriate timing and emotion.
1B 2025
— Akukho zivoti
slow Premium
23
Chatterbox Turbo
Chatterbox Turbo
Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.
350M 2025
— Akukho zivoti
fast Standard
24
VoxCPM
VoxCPM
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
500M 1800000h 2025
— Akukho zivoti
fast Standard
25
Kani TTS 2
Kani TTS 2
Ultra-lightweight 400M English TTS model running in just 3GB VRAM.
400M 10000h 2026
— Akukho zivoti
fast Free
26
OuteTTS
OuteTTS
LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js.
1B 5000h 2025
— Akukho zivoti
slow Free
27
VibeVoice
VibeVoice
Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers.
1.5B 100000h 2025
— Akukho zivoti
fast Standard
28
Pocket TTS
Pocket TTS
Lightweight 100M parameter model by Kyutai with voice cloning from a single sample.
100M 50000h 2025
— Akukho zivoti
fast Free
29
Kitten TTS
Kitten TTS
Ultra-lightweight TTS under 80MB. Runs on CPU without GPU.
80M 2025
— Akukho zivoti
fast Free
30
CosyVoice3
CosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
500M 200000h 2025
— Akukho zivoti
fast Standard
31
NAMAA Saudi TTS
NAMAA Saudi TTS
First open Saudi-Arabic TTS. Native Saudi dialect with Chatterbox-quality voice cloning.
300M 2026
— Akukho zivoti
medium Standard
32
Darwin TTS
Darwin TTS
Cross-modal Qwen3-TTS variant with FFN weights blended from the Qwen3-1.7B language model for sharper multilingual cloning.
2.1B 2026
— Akukho zivoti
medium Standard
33
MOSS-TTSD
MOSS-TTSD
Multi-speaker dialogue continuation model — generate podcast-style conversations with up to 5 speakers and 60 minutes of coherent audio.
7B 2026
— Akukho zivoti
medium Standard
34
Ming-Omni TTS
Ming-Omni TTS
Compact 0.5B omni-modal speech model from inclusionAI with high-fidelity 44.1kHz output and zero-shot voice cloning.
500M 2026
— Akukho zivoti
medium Free
35
MOSS-TTS Nano
MOSS-TTS Nano
Tiny 100M MOSS-TTS variant — same architecture, 80x smaller, free-tier latency.
100M 500000h 2026
— Akukho zivoti
fast Free

Iinkwenkwezi zeBenchmark

I-official TTS.ai benchmark scores across three dimensions: naturalness, precision, and speed.

KokoroKokoro

Free
Ubuhle bendalo 4.8/5
Umgangatho 4.7/5
Isantya 4.9/5
I-Gross 4.8/5

CosyVoice 2CosyVoice 2

Standard
Ubuhle bendalo 4.5/5
Umgangatho 4.4/5
Isantya 3.8/5
I-Gross 4.26/5

ChatterboxChatterbox

Premium
Ubuhle bendalo 4.7/5
Umgangatho 4.5/5
Isantya 3.4/5
I-Gross 4.25/5

StyleTTS 2StyleTTS 2

Premium
Ubuhle bendalo 4.5/5
Umgangatho 4.3/5
Isantya 3.8/5
I-Gross 4.23/5

PiperPiper

Free
Ubuhle bendalo 3.5/5
Umgangatho 4.2/5
Isantya 4.95/5
I-Gross 4.15/5

MeloTTSMeloTTS

Free
Ubuhle bendalo 3.8/5
Umgangatho 4.1/5
Isantya 4.6/5
I-Gross 4.13/5

Dia TTSDia TTS

Standard
Ubuhle bendalo 4.6/5
Umgangatho 4.3/5
Isantya 3.2/5
I-Gross 4.09/5

VITSVITS

Free
Ubuhle bendalo 3.4/5
Umgangatho 4.0/5
Isantya 4.8/5
I-Gross 4.0/5

OrpheusOrpheus

Standard
Ubuhle bendalo 4.3/5
Umgangatho 4.1/5
Isantya 3.5/5
I-Gross 4.0/5

OpenVoiceOpenVoice

Premium
Ubuhle bendalo 4.0/5
Umgangatho 4.1/5
Isantya 3.9/5
I-Gross 4.0/5

IndexTTS-2IndexTTS-2

Standard
Ubuhle bendalo 4.3/5
Umgangatho 4.1/5
Isantya 3.2/5
I-Gross 3.91/5

Spark TTSSpark TTS

Standard
Ubuhle bendalo 4.2/5
Umgangatho 4.0/5
Isantya 3.4/5
I-Gross 3.9/5

Parler TTSParler TTS

Standard
Ubuhle bendalo 4.1/5
Umgangatho 3.9/5
Isantya 3.4/5
I-Gross 3.83/5

Tortoise TTSTortoise TTS

Premium
Ubuhle bendalo 4.6/5
Umgangatho 4.4/5
Isantya 1.8/5
I-Gross 3.7/5

BarkBark

Standard
Ubuhle bendalo 4.2/5
Umgangatho 3.8/5
Isantya 2.5/5
I-Gross 3.57/5

Inkqubo yovavanyo

Cwangcisa Uvavanyo

  • Izixhobo zekhompyutha: 4x NVIDIA Tesla P40 (24GB VRAM nganye), 96GB ipheleleyo
  • Umbhalo wovavanyo: 5 iinxalenye eziqhelekileyo eziquka imizobo eyahlukeneyo yokuthetha (ukuthetha, unxibelelwano, ubugcisa, ubulumko, ukusetyenziswa kwezilwimi ezininzi)
  • Ixabiso: Iimetrikhi ezizenzekelayo (ukuqikelelwa kwe-MOS, i-WER, i-RTF) zidityaniswe novavanyo lokuva
  • Iinkqubo: Imodeli nganye ivavanywe amaxesha angama-10 ngaxeshanye,

Izikhokelo zokufaka amachaphaza

  • Ubuhle bendalo (40%): I-prosody, intonation, rhythm, emotions—ithetha ntoni kumuntu?
  • Umgangatho (30%): Umgangatho wokuthetha, umyinge womonakalo wegama, ukuqonda
  • Isantya (30%): Umlinganiselo wexesha elikhoyo (imizuzwana yesandi / imizuzwana yokwakha). Iphezulu = ikhawulezayo.
  • Okupheleleyo: Umndilili olinganiselweyo: 0.4 x Ubunyani + 0.3 x Ubunyani + 0.3 x Isantya

Gqabaza: Iimpawu ezichaphazela ukusebenza kwezixhobo zethu ezikhethekileyo kunye nemibhalo yovavanyo. Ubunjani behlabathi- lenyaniso bunokuthi butshintshe ngokuxhomekeke kumbhalo wongeniso, ulwimi, nokhetho lwesandi. Iindidi zeqela zinika umqondiso o complementary ngokuxhomekeke kukusetyenziswa okuninzi kwenyaniso.

Imibuzo ebuzwa rhoqo

I-TTS Arena yibhodi ephambili eqwalasela iimodeli ze-AI zombhalo-ukuthetha ezisekelwe kuvavanyo olusemthethweni lwe-benchmark kunye ne-ratings yeqela. Thelekisa iimodeli nganye nganye, phulaphula iisampulu, kwaye uvote ezi zithetha ngcono kuwe.

Siqhuba uvavanyo oluqhelekileyo kwimodeli nganye usebenzisa imixholo yokubhala, izixhobo, kunye nemithetho yovavanyo. Iinqaku ziquka ukubonakala (ukuba ithetha ntoni umntu), ukuthembeka (ukuthetha nokuqwalaselwa), kunye nesantya (ixesha lokuvelisa). Zonke iimvavanyo zisebenzisa iseva yethu ye-GPU ene-NVIDIA Tesla P40 GPUs.

Ewe! Nqakraza kwiinkwenkwezi ecaleni kwemodeli nganye ukulilinganisela ukusuka ku-1 ukuya ku-5. Kufuneka ungene ukuze uvote. Uluhlu lwakho lunceda kumndilili weqela obonakaliswe kwibhodi yolawulo. Ungatshintsha luhlu lwakho nangaliphi na ixesha.

Ngenisa nayiphi na imiyalelo, khetha iimodeli ezimbini, kwaye nqakraza uthelekiso. Zonke iimodeli zivelisa ukuthetha ukusuka kumbhalo ofanayo ngexesha elinye. Lindela zombini kwaye uvote yeyiphi edlala kakuhle. Olu thelekiso olumnyama lunceda ukuchonga imiyalelo engcono yeemfuno zakho ezikhethekileyo.

Ubunyani bulinganisela ukuba ilizwi lifana njani nomntu (i-prosody, intonation, rhythm). Ubunyani bulinganisela ukuba uthetha ngokuchanekileyo nokuqondakala. Isantya silinganisela ukuba imodeli ivelisa njani isandi ngokukhawuleza xa kuthelekiswa nexesha elikhoyo. Okupheleleyo kuphakathi kobunzima beemetriki zonke.

Iimodeli ngaphandle kwee-benchmark scores zingaba zidityanisiwe ngokutsha kwaye zilinde uvavanyo, okanye zifuna isicwangciso esikhethekileyo (njengee-gated access tokens) esilindelwe. Ii-ratings zehlabathi zihlala zifumaneka kwezi modeli.

Ii-benchmarks ezisemthethweni zihlaziywa xa iimodyuli zifumana uhlaziyo olubalulekileyo okanye xa iimodyuli ezintsha zifakiwe. Ii-ratings zeqela zihlaziywa ngexesha elibonakalayo njengoko abasebenzisi bevota. I-data yebhodi yolawulo igcinwa kwi-cache iminyaka emihlanu yokusebenza.

Iimodeli ze-free-tier (iKokoro, iPiper, iVITS, iMeloTTS) azikho inzuzo engaphezulu kwaye zitsala i-free allowance yakho. Iimodeli eziqhelekileyo zisebenzisa iimpawu ezi-2x (umzekelo, iimpawu ezili-1,000 zombhalo zibiza iimpawu ezili-2,000 kwi-balance yakho). Iimodeli ze-premium zisebenzisa iimpawu ezili-4x kwaye ngokubanzi zibonelela ngexabiso eliphezulu okanye iimpawu ezikhethekileyo ezinjengokukrola kwelizwi.

Iimeko ezininzi zokusetyenziswa, i Kokoro (inqanaba elikhululekileyo) inikezela ngexabiso elilungileyo. Ukuluka kwelizwi, zama i Chatterbox okanye i CosyVoice 2. Kwizinto eziqulethe ulwimi oluninzi, MeloTTS okanye i CosyVoice 2. Kwintsingiselo ebonisa amagama, Bark okanye Dia. Sebenzisa isixhobo sokuthelekiswa ukuvavanya umbhalo wakho okhankanywe.

Ewe, ungavelisa kwaye uthelekise isandi ukusuka kwenye yemodeli ezimbini ngaphandle kwe-akhawunti usebenzisa imodeli ye-free-tier. Ukuvota kwimodeli kudinga i-akhawunti ekhululekileyo. Uthelekiso lwemodeli ye-premium lufuna amalungu.

Sizama ukuqinisekisa ukuba sisebenza ngokufanelekileyo ngokusebenzisa imibhalo yovavanyo eqhelekileyo, izixhobo zekhompyutha ezifanayo, kunye neemeko zovavanyo ezihambelanayo kuzo zonke iimodyuli. Ii-ratings zehlabathi zinika i-signal engaphezulu ekhululekileyo. Inkqubo yethu ichazwe kwicandelo le-Benchmark Methodology ezantsi.

Iimodeli zibekwa phezulu ngokukodwa ngenqaku elipheleleyo le-benchmark, emva koko ngexabiso eliphakathi leqela elilawulayo njengento ebangela ukuba kubekho uxinzelelo. Iimodeli ezingabakho kwi-benchmark zibekwe phantsi kwezine-benchmark, zibekwe ngokwexabiso leqela elilawulayo.
5.0/5 (1)

Yintoni esinokuyilungisa? Ulwazi lwakho olufunyenweyo lunceda silungise iingxaki.

Fumana ilizwi lakho elipheleleyo

Zama nayiphi na imodeli yasimahla ngeKokoro, Piper, VITS, okanye MeloTTS. Akukho akhawunti ifunekayo.

Ubhaliso simahla Bonisa ixabiso