TTS Arena — AI Voice Model Leaderboard
Ṣàfikún àwọn móòdù àkọ́lé-si-ìbálẹ̀ 20+. Àwọn ìṣàfilọ́lẹ̀ alábòójútó, àwọn ìṣàfilọ́lẹ̀ ìjọba, àti àwọn ìṣàfilọ́lẹ̀ pẹ̀lú pẹ̀lú.
Àwọn Àwọn Ààyè-iṣẹ́
Ṣàfihàn àyọkà, yan àwọn ìṣàmúlò-ètò mejì, àtí ṣàfihàn àwọn àwọn ìrísí-lẹ́tà. Àwọn ìṣàmúlò-ètò ìpele-ètò ọ̀fẹ̀ kò niló kọ̀ǹpútà kan.
Àwọn ìṣàmúlò-ètò ọ̀fẹ̀ náà tí kò bá kọ̀ǹpútà. Ṣàfihàn to compare premium models.
Àwọn ìṣàmúlò-ètò
| # | Àwọn ìṣàmúlò-ètò | Àwọn Ìwé-iṣẹ́ | Àwọn Àgbègbè | Àwọn ìṣàmúlò-ètò rẹ | Ìjánu-ìsún | Àwọn Ìṣàmúlò-ètò |
|---|---|---|---|---|---|---|
| 1 |
Kokoro
Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.
82M
1200h
2024
|
4.8 /5 |
5.0
/5
1 Àwọn ìṣàmúlò-ètò
|
fast | Free | |
| 2 |
CosyVoice 2
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
300M
200000h
2024
|
4.26 /5 | Àwọn àwòrán | medium | Standard | |
| 3 |
Chatterbox
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
300M
2025
|
4.25 /5 | Àwọn àwòrán | medium | Premium | |
| 4 |
StyleTTS 2
Human-level text-to-speech through style diffusion and adversarial training.
100M
585h
2024
|
4.23 /5 | Àwọn àwòrán | medium | Premium | |
| 5 |
Piper
A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.
15M
2023
|
4.15 /5 | Àwọn àwòrán | fast | Free | |
| 6 |
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M
2024
|
4.13 /5 | Àwọn àwòrán | fast | Free | |
| 7 |
Dia TTS
Multi-speaker dialog generation model that creates natural conversations between speakers.
1.6B
2024
|
4.09 /5 | Àwọn àwòrán | medium | Standard | |
| 8 |
VITS
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
25M
585h
2021
|
4.0 /5 | Àwọn àwòrán | fast | Free | |
| 9 |
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B
100000h
2025
|
4.0 /5 | Àwọn àwòrán | medium | Standard | |
| 10 |
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M
2024
|
4.0 /5 | Àwọn àwòrán | medium | Premium | |
| 11 |
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M
2025
|
3.91 /5 | Àwọn àwòrán | medium | Standard | |
| 12 |
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M
2025
|
3.9 /5 | Àwọn àwòrán | medium | Standard | |
| 13 |
Parler TTS
Describe the voice you want in natural language and Parler generates matching speech.
880M
45000h
2024
|
3.83 /5 | Àwọn àwòrán | medium | Standard | |
| 14 |
Tortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
400M
50000h
2022
|
3.7 /5 | Àwọn àwòrán | slow | Premium | |
| 15 |
Bark
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
350M
100000h
2023
|
3.57 /5 | Àwọn àwòrán | slow | Standard | |
| 16 |
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M
100000h
2023
|
— | Àwọn àwòrán | medium | Standard | |
| 17 |
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M
2024
|
— | Àwọn àwòrán | slow | Standard | |
| 18 |
Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
1.7B
2025
|
— | Àwọn àwòrán | medium | Standard |
Àwọn Ààyè-iṣẹ́ Ìṣàmúlò-ètò
Oṣiṣẹ TTS.ai benchmark scores lori awọn iwọn mẹta: naturalness, accuracy, ati iyara.
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
Àwọn Ìṣàmúlò-ètò
Àtòjọ-ẹ̀yàn Àtòjọ-ẹ̀yàn
- Àwọn ààyè-iṣẹ́: 4x NVIDIA Tesla P40 (24GB VRAM kọọkan), 96GB gbogbogbo
- Àwọn àyọkà ìyẹwo: 5 standardized passages covering different speech patterns (narration, dialogue, technical, emotional, multilingual)
- Àwọn Ìṣàmúlò-ètò Automatic metrics (MOS estimation, WER, RTF) combined with human listening tests
- Àwọn ìṣàmúlò-ètò: Àwọn ìṣàmúlò-ètò kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà kọ̀ǹpútà
Àwọn ìṣàmúlò-ètò àwọn ààyè-iṣẹ́
- Ìṣàfihàn (40%): Prosody, intonation, rhythm, emotion — how human does it sound?
- Accuracy (30%): Pronunciation correctness, word error rate, intelligibility
- Ìjánu-ìsẹ́ (30%): Fákìtì àkókó-ìgbá (sékètì àwòrán / sékètì ìṣàfilọ́lẹ̀). Kéré = rọ́ọ̀nù.
- Gbogbogbo: Aṣàfilọ́lẹ̀: 0.4 x Aṣàfilọ́lẹ̀ + 0.3 x Aṣàfilọ́lẹ̀ + 0.3 x Ìjáde
Àwọn Àmì-ìwé: 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.
Àwọn Àtòjọ-ẹ̀yàn
Wá Àwòrán Rẹ̀
Wá àwọn móòdù fún ọ̀fẹ̀ pẹlú Kokoro, Piper, VITS, tàbí MeloTTS. Kò ní àwọn àwọn ìṣàmúlò-ètò tí a fẹ́.