TTS Arena — AI Voice Model Leaderboard
Linganisa amamodeli we-text-to-speech angaphezu kuka-20. Izinkomba ezisemthethweni, izibalo zomphakathi, nokuqhathaniswa kwe-side-by-side.
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. Bhalisa ukuqhathaniswa amamodeli premium.
Imodeli ye-Leaderboard
| # | Imodeli | Ochwepheshe | Umphakathi | Izinga lakho | Isivinini | Uhlobo |
|---|---|---|---|---|---|---|
| 1 |
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
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
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
Human-level text-to-speech through style diffusion and adversarial training.
100M
585h
2024
|
4.23 /5 | Akukho mavoti | medium | Premium | |
| 5 |
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
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
Multi-speaker dialog generation model that creates natural conversations between speakers.
1.6B
2024
|
4.09 /5 | Akukho mavoti | medium | Standard | |
| 8 |
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
Human-level emotional TTS model trained on 100K hours of speech data.
3B
100000h
2025
|
4.0 /5 | Akukho mavoti | medium | Standard | |
| 10 |
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M
2024
|
4.0 /5 | Akukho mavoti | medium | Premium | |
| 11 |
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
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M
2025
|
3.9 /5 | Akukho mavoti | medium | Standard | |
| 13 |
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
Multi-voice text-to-speech focused on quality with autoregressive architecture.
400M
50000h
2022
|
3.7 /5 | Akukho mavoti | slow | Premium | |
| 15 |
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
Lighter version of Bark with faster inference and lower memory usage.
150M
100000h
2023
|
— | Akukho mavoti | medium | Standard | |
| 17 |
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M
2024
|
— | Akukho mavoti | slow | Standard | |
| 18 |
Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
1.7B
2025
|
— | Akukho mavoti | medium | Standard |
Amaphuzu we-benchmark aphelele
I-official TTS.ai benchmark scores across three dimensions: naturalness, accuracy, and speed.
Kokoro
Free
CosyVoice 2
Standard
Chatterbox
Premium
StyleTTS 2
Premium
Piper
Free
MeloTTS
Free
Dia TTS
Standard
VITS
Free
Orpheus
Standard
OpenVoice
Premium
IndexTTS-2
Standard
Spark TTS
Standard
Parler TTS
Standard
Tortoise TTS
Premium
Bark
Standard
Indlela yokuhlola
Ukumiswa kokuhlolwa
- Amathuluzi: 4x NVIDIA Tesla P40 (24GB VRAM ngayinye), 96GB wonke
- Ukuhlola umbhalo: Iziqephu ezingu-5 ezijwayelekile ezifaka izimo ezahlukene zokukhuluma (ukukhuluma, ukuxoxa, ubuchwepheshe, ubuthakathaka, izilimi eziningi)
- Ukulinganisa: Ama-metrics azenzakalelayo (i-MOS estimation, WER, RTF) axhunywe nezivivinyo zokulalela umuntu
- Isebenza: Imodeli ngayinye ihlolwe izikhathi ezingu-10 ngayinye, amaphuzu aphakathi
Izinqumo zokubala
- Imvelo (40%): Prosody, intonation, rhythm, emotion — how human does it sound?
- Ukunemba (30%): Pronunciation correctness, word error rate, intelligibility
- 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: Benchmarks reflect performance on our specific hardware and test texts. Real-world quality may vary based on input text, language, and voice selection. Community ratings provide a complementary signal based on diverse real usage.
Imibuzo ebuzwa kaningi
Thola umsindo wakho ophelele
Zama noma yiluphi uhlobo mahhala ngeKokoro, Piper, VITS, noma MeloTTS. Akukho akhawunti edingekayo.