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TTS Arena — AI Voice Model Leaderboard

Ulinganiso lwe-20+ imodeli yokubhala-ukukhuluma. Izinkomba zomphakathi, izibalo zeqembu, kanye nolinganiso lwe-side-by-side.

Ubhalise
Asikho isikhulumi se-TTS ezweni lakho. Sicela usize ukungeza isandla sakho! Uhlu lwamagama

Ukuqhathaniswa kwe-Side-by-Side

Bhala umbhalo, khetha amamodeli amabili, bese uqhathanisa izimpendulo. Amamodeli we-free-tier adinga i-akhawunti.

Amamodeli amahhala asebenza ngaphandle kwe-akhawunti. Bhala ukuqhathaniswa amamodeli premium.

Imodeli ye-Leaderboard

# Imodeli I-ofisi Iqembu Izinga lakho Isivinini I-Tiger
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 mavoti
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 mavoti
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 mavoti
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 mavoti
fast Free
6
MeloTTS
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M 2024
4.13 /5 Akukho mavoti
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 mavoti
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 mavoti
fast Free
9
Orpheus
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B 100000h 2025
4.0 /5 Akukho mavoti
medium Standard
10
OpenVoice
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M 2024
4.0 /5 Akukho mavoti
medium Premium
11
IndexTTS-2
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M 2025
3.91 /5 Akukho mavoti
medium Standard
12
Spark TTS
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M 2025
3.9 /5 Akukho mavoti
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 mavoti
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 mavoti
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 mavoti
slow Standard
16
Bark Small
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M 100000h 2023
— Akukho mavoti
medium Standard
17
GLM-TTS
GLM-TTS
Achieves the lowest character error rate among open-source TTS models.
300M 2025
— Akukho mavoti
medium Standard
18
GPT-SoVITS
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M 2024
— Akukho mavoti
slow Standard
19
Qwen3 TTS
Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
1.7B 2025
— Akukho mavoti
medium Standard
20
Sesame CSM
Sesame CSM
Conversational speech model generating natural dialogue with appropriate timing and emotion.
1B 2025
— Akukho mavoti
slow Premium
21
Chatterbox Turbo
Chatterbox Turbo
Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.
350M 2025
— Akukho mavoti
fast Standard
22
Zonos
Zonos
Emotion-controllable TTS with fine-grained sliders for happiness, anger, sadness, and more.
1.6B 200000h 2025
— Akukho mavoti
medium Standard
23
Dia 2
Dia 2
Streaming-first conversational TTS with multi-speaker dialogue and paralinguistic cues.
2B 2025
— Akukho mavoti
fast Standard
24
VoxCPM
VoxCPM
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
500M 1800000h 2025
— Akukho mavoti
fast Standard
25
OuteTTS
OuteTTS
LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js.
1B 5000h 2025
— Akukho mavoti
fast Free
26
TADA
TADA
Zero-hallucination TTS with text-acoustic dual alignment, 5x faster than comparable LLM TTS.
1B 2026
— Akukho mavoti
fast Standard
27
VibeVoice
VibeVoice
Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers.
1.5B 100000h 2025
— Akukho mavoti
fast Standard
28
Pocket TTS
Pocket TTS
Lightweight 100M parameter model by Kyutai with voice cloning from a single sample.
100M 50000h 2025
— Akukho mavoti
fast Free
29
Kitten TTS
Kitten TTS
Ultra-lightweight TTS under 80MB. Runs on CPU without GPU.
80M 2025
— Akukho mavoti
fast Free
30
CosyVoice3
CosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
500M 200000h 2025
— Akukho mavoti
fast Standard
31
MOSS-TTS
MOSS-TTS
Ultra-long 20-language TTS supporting up to 1 hour of continuous generation with phoneme-level control.
8B 500000h 2026
— Akukho mavoti
medium Premium
32
MegaTTS3
MegaTTS3
ByteDance's sparse alignment TTS with adjustable intelligibility vs. speaker similarity.
1B 100000h 2025
— Akukho mavoti
slow Premium

Amaphuzu we-benchmark aphelele

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

KokoroKokoro

Free
Ubuhle bemvelo 4.8/5
Ukunemba 4.7/5
Isivinini 4.9/5
Okuphelele 4.8/5

CosyVoice 2CosyVoice 2

Standard
Ubuhle bemvelo 4.5/5
Ukunemba 4.4/5
Isivinini 3.8/5
Okuphelele 4.26/5

ChatterboxChatterbox

Premium
Ubuhle bemvelo 4.7/5
Ukunemba 4.5/5
Isivinini 3.4/5
Okuphelele 4.25/5

StyleTTS 2StyleTTS 2

Premium
Ubuhle bemvelo 4.5/5
Ukunemba 4.3/5
Isivinini 3.8/5
Okuphelele 4.23/5

PiperPiper

Free
Ubuhle bemvelo 3.5/5
Ukunemba 4.2/5
Isivinini 4.95/5
Okuphelele 4.15/5

MeloTTSMeloTTS

Free
Ubuhle bemvelo 3.8/5
Ukunemba 4.1/5
Isivinini 4.6/5
Okuphelele 4.13/5

Dia TTSDia TTS

Standard
Ubuhle bemvelo 4.6/5
Ukunemba 4.3/5
Isivinini 3.2/5
Okuphelele 4.09/5

VITSVITS

Free
Ubuhle bemvelo 3.4/5
Ukunemba 4.0/5
Isivinini 4.8/5
Okuphelele 4.0/5

OrpheusOrpheus

Standard
Ubuhle bemvelo 4.3/5
Ukunemba 4.1/5
Isivinini 3.5/5
Okuphelele 4.0/5

OpenVoiceOpenVoice

Premium
Ubuhle bemvelo 4.0/5
Ukunemba 4.1/5
Isivinini 3.9/5
Okuphelele 4.0/5

IndexTTS-2IndexTTS-2

Standard
Ubuhle bemvelo 4.3/5
Ukunemba 4.1/5
Isivinini 3.2/5
Okuphelele 3.91/5

Spark TTSSpark TTS

Standard
Ubuhle bemvelo 4.2/5
Ukunemba 4.0/5
Isivinini 3.4/5
Okuphelele 3.9/5

Parler TTSParler TTS

Standard
Ubuhle bemvelo 4.1/5
Ukunemba 3.9/5
Isivinini 3.4/5
Okuphelele 3.83/5

Tortoise TTSTortoise TTS

Premium
Ubuhle bemvelo 4.6/5
Ukunemba 4.4/5
Isivinini 1.8/5
Okuphelele 3.7/5

BarkBark

Standard
Ubuhle bemvelo 4.2/5
Ukunemba 3.8/5
Isivinini 2.5/5
Okuphelele 3.57/5

Indlela yokusebenza

Ukumiswa kokuhlolwa

  • Imishini: 4x NVIDIA Tesla P40 (24GB VRAM ngayinye), 96GB wonke
  • Ukuhlolwa kwetekisi: 5 amavesi ajwayelekile ahlanganisa imiqondo yokukhuluma ehlukene (ukukhuluma, ukukhuluma, okusezingeni eliphezulu, okunengqondo, okuningi kwezilimi)
  • Ukulinganisa: Ama-metrics azenzakalelayo (i-MOS estimation, WER, RTF) axhunywe nezivivinyo zokulalela umuntu
  • Isebenza: Imodeli ngayinye ihlolwe izikhathi ezingu-10 ngayinye, amaphuzu aphakathi

Ukukala izimo

  • Imvelo (40%): I-prosody, intonation, rhythm, emotions — izwakala kanjani njengomuntu?
  • Ukunemba (30%): Ukucaciswa kwezwi, isilinganiso sephutha legama, ukucaciswa
  • Isivinini (30%): Isikhathi sangempela somphumela (isekondi yomsindo / isizukulwane sesekondi). Esiphezulu = esisheshayo.
  • Okuphelele: Isilinganiso esilinganiselwe: 0.4 x Ubuhle + 0.3 x Ukunemba + 0.3 x Isivinini

Isibonelo: Izinkomba zibonisa ukusebenza kwemishini yethu ekhethekile kanye nemibhalo yokuhlolwa. Umgangatho wezwe-lokwenyani ungahluka ngokuya ngemibhalo yokungena, ulwimi, nokukhethwa kwezwi. Izibalo zeqembu zinikeza umlayezo ohambisanayo ngokuya ngemithombo eminingi yokusetshenziswa kweqiniso.

Imibuzo ebuzwa kaningi

I-TTS Arena iyibhodi elihamba phambili elihamba phambili le-AI text-to-speech models ngokuya ngemibiko yokuhlolwa kwe-benchmark kanye ne-community ratings. Qaphela amamodeli ngakwesokudla, lalela izithako, futhi uvote labo abazwa kahle kuwe.

Sisebenzisa ukuhlolwa okujwayelekile kumodeli ngayinye usebenzisa ama-passages we-text, amathuluzi, kanye nemithetho yokuhlola. Amaphuzu ahlanganisa ubuhle (ukuthi uzwa kanjani umuntu), ukuthembeka (ukukhuluma nokuqondeka), kanye nejubane (isikhathi sokuthuthukiswa). Zonke izifundo zisebenzisa iseva yethu ye-GPU ne-NVIDIA Tesla P40 GPUs.

Yebo! Chofoza izinkanyezi ezingezansi kwemodeli ngayinye ukuze uyihlole kusuka ku-1 kuya ku-5. Kudingeka ungene ukuze uvoti. Uhlu lwakho lusiza ukulinganiselwa kweqembu elibonisa ibhodi lokulawula. Ungashintsha uhlu lwakho nganoma yisiphi isikhathi.

Bhala noma yiluphi uxwebhu, khetha amamodeli amabili, bese uchofoza uthelekisa. Amamodeli amabili akhiqiza ukukhuluma kusuka kumbhalo owodwa ngasikhathi sinye. Dlazula kumamodeli amabili bese uvota ukuthi iyiphi ezwakala kahle. Lo mphumela wothelekisa omnyama usiza ukukhomba imodeli engcono kakhulu yezidingo zakho ezikhethekile.

Ubuhlakani bulinganisela ukuthi izwi lizwakala kanjani njengomuntu (i-prosody, intonation, rhythm). Ukunethezeka kulinganisela ukuthi ulwimi luzwakala kanjani kahle futhi lube lula ukuliqonda. Isivinini silinganisela ukuthi imodeli ikhiqiza umsindo ngokushesha kangakanani uma kuqhathaniswa nesikhathi sangempela. Okuphelele yisilinganiso esilinganiselwe sazo zonke izibalo.

Amamodeli olungama-benchmark scores noma afakwe ngokusha futhi alinde ukuhlolwa, noma adinga ukumiswa okukhethekile (njenge-gated access tokens) okulindelekile. Ama-ratings emphakathini akhona kulawo mamodeli.

Izilinganiso ezisemthethweni zivuselelwa uma amamodeli ethola ukuhlaziywa okubalulekile noma uma amamodeli amasha engeza. Ama-ratings emphakathini avuselelwa ngesikhathi sangempela njengoba abasebenzisi bevota. I-data yebhodi elihamba phambili igcinwa imizuzu engu-5 yokusebenzela.

Amamodeli amahhala (iKokoro, iPiper, iVITS, iMeloTTS) abiza ama-0 amaphawu. Amamodeli ajwayelekile asebenzisa ama-2x amaphawu (isibonelo, ama-1,000 amaphawu ombhalo abiza ama-2,000 amaphawu e-akhawunti yakho). Amamodeli aphezulu asebenzisa ama-4x amaphawu futhi ngokuvamile anikeza umgangatho ophezulu noma ama-features ahlukile njenge-cloning yomsindo.

Ukusetshenziswa okuningi, iKokoro (izinga elimahhala) inikeza ukhwalithi enhle. Uklonyeliswa kwezwi, zama iChatterbox noma iCosyVoice 2. Ukusetshenziswa kwezwi eliningi, MeloTTS noma iCosyVoice 2. Umlando ocacile, Bark noma Dia. Sebenzisa ithuluzi lokuqhathaniswa ukuhlola umbhalo wakho othile.

Yebo, ungadala futhi ulinganise umsindo kusuka kunoma yiziphi izimodeli ezimbili ngaphandle kwe-akhawunti usebenzisa izimodeli ezisezingeni elimahhala. Ukuvota ngezimodeli kuthatha i-akhawunti emahhala. Ukuqhathaniswa kwemodeli ye-premium kuthatha amanani.

Sifuna ukufeza ubulungiswa ngokusetshenziswa kwemibhalo yokuhlolwa ejwayelekile, imishini efana, kanye nemithetho yokuhlola ehambisanayo kuzo zonke imodeli. Izinga leqembu linikeza umlayezo ongeziwe ohlukile. Indlela yethu yokusebenza ichazwe kwisigaba se-Benchmark Methodology ngezansi.

Amamodeli ahlukaniswa ngokuyinhloko ngesilinganiso esiphelele se-benchmark, bese kubhekwa isilinganiso seqembu njenge-tiebreaker. Amamodeli olungama-benchmarks ahlukaniswa ngaphansi kwalawo ane-benchmarks, ahlukaniswe nge-rating yeqembu.
5.0/5 (1)

Yini esingayithuthukisa? Umbono wakho usiza ukuxazulula izinkinga.

Thola umsindo wakho ophelele

Zama noma yiluphi uhlobo mahhala ngeKokoro, Piper, VITS, noma MeloTTS. Akukho akhawunti edingekayo.

Ubhalise Bonisa ukuthengwa