TTS Arena — AI Voice Model Leaderboard
Tụkwasị 20+ ngwe-na-asụsụ model. Official benchmarks, community ratings, na side-by-side comparison.
Ndesịta ihenhọrọ ndị ahụ
Tinye ngwe, họrọ móòdù abụọ, nakwa belata nsonaazụ. Free-tier móòdù chọrọ akaụntụ ọbụla.
Free models na-arụ ọrụ na-enweghị akaụntụ. Akaụntụ iji tụnyere ụdị premium.
Móòdù Leaderboard
| # | Móòdù | Òfisíèlì | Òtù | Ọnụọgụgụ gị | Nhazi | _Nhazi |
|---|---|---|---|---|---|---|
| 1 |
Kokoro
Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.
82M
1200h
2024
|
4.8 /5 |
5.0
/5
1 Ọnụọgụgụ
|
fast | Free | |
| 2 |
CosyVoice 2
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
300M
200000h
2024
|
4.26 /5 | Enweghị ụtụ isi | medium | Standard | |
| 3 |
Chatterbox
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
300M
2025
|
4.25 /5 | Enweghị ụtụ isi | medium | Premium | |
| 4 |
StyleTTS 2
Human-level text-to-speech through style diffusion and adversarial training.
100M
585h
2024
|
4.23 /5 | Enweghị ụtụ isi | medium | Premium | |
| 5 |
Piper
A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.
15M
2023
|
4.15 /5 | Enweghị ụtụ isi | fast | Free | |
| 6 |
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M
2024
|
4.13 /5 | Enweghị ụtụ isi | fast | Free | |
| 7 |
Dia TTS
Multi-speaker dialog generation model that creates natural conversations between speakers.
1.6B
2024
|
4.09 /5 | Enweghị ụtụ isi | medium | Standard | |
| 8 |
VITS
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
25M
585h
2021
|
4.0 /5 | Enweghị ụtụ isi | fast | Free | |
| 9 |
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B
100000h
2025
|
4.0 /5 | Enweghị ụtụ isi | medium | Standard | |
| 10 |
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M
2024
|
4.0 /5 | Enweghị ụtụ isi | medium | Premium | |
| 11 |
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M
2025
|
3.91 /5 | Enweghị ụtụ isi | medium | Standard | |
| 12 |
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M
2025
|
3.9 /5 | Enweghị ụtụ isi | medium | Standard | |
| 13 |
Parler TTS
Describe the voice you want in natural language and Parler generates matching speech.
880M
45000h
2024
|
3.83 /5 | Enweghị ụtụ isi | medium | Standard | |
| 14 |
Tortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
400M
50000h
2022
|
3.7 /5 | Enweghị ụtụ isi | slow | Premium | |
| 15 |
Bark
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
350M
100000h
2023
|
3.57 /5 | Enweghị ụtụ isi | slow | Standard | |
| 16 |
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M
100000h
2023
|
— | Enweghị ụtụ isi | medium | Standard | |
| 17 |
GLM-TTS
Achieves the lowest character error rate among open-source TTS models.
300M
2025
|
— | Enweghị ụtụ isi | medium | Standard | |
| 18 |
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M
2024
|
— | Enweghị ụtụ isi | slow | Standard | |
| 19 |
Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
1.7B
2025
|
— | Enweghị ụtụ isi | medium | Standard | |
| 20 |
Sesame CSM
Conversational speech model generating natural dialogue with appropriate timing and emotion.
1B
2025
|
— | Enweghị ụtụ isi | slow | Premium | |
| 21 |
Chatterbox Turbo
Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.
350M
2025
|
— | Enweghị ụtụ isi | fast | Standard | |
| 22 |
Zonos
Emotion-controllable TTS with fine-grained sliders for happiness, anger, sadness, and more.
1.6B
200000h
2025
|
— | Enweghị ụtụ isi | medium | Standard | |
| 23 |
Dia 2
Streaming-first conversational TTS with multi-speaker dialogue and paralinguistic cues.
2B
2025
|
— | Enweghị ụtụ isi | fast | Standard | |
| 24 |
VoxCPM
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
500M
1800000h
2025
|
— | Enweghị ụtụ isi | fast | Standard | |
| 25 |
OuteTTS
LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js.
1B
5000h
2025
|
— | Enweghị ụtụ isi | fast | Free | |
| 26 |
TADA
Zero-hallucination TTS with text-acoustic dual alignment, 5x faster than comparable LLM TTS.
1B
2026
|
— | Enweghị ụtụ isi | fast | Standard | |
| 27 |
VibeVoice
Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers.
1.5B
100000h
2025
|
— | Enweghị ụtụ isi | fast | Standard | |
| 28 |
Pocket TTS
Lightweight 100M parameter model by Kyutai with voice cloning from a single sample.
100M
50000h
2025
|
— | Enweghị ụtụ isi | fast | Free | |
| 29 |
Kitten TTS
Ultra-lightweight TTS under 80MB. Runs on CPU without GPU.
80M
2025
|
— | Enweghị ụtụ isi | fast | Free | |
| 30 |
CosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
500M
200000h
2025
|
— | Enweghị ụtụ isi | fast | Standard | |
| 31 |
MOSS-TTS
Ultra-long 20-language TTS supporting up to 1 hour of continuous generation with phoneme-level control.
8B
500000h
2026
|
— | Enweghị ụtụ isi | medium | Premium | |
| 32 |
MegaTTS3
ByteDance's sparse alignment TTS with adjustable intelligibility vs. speaker similarity.
1B
100000h
2025
|
— | Enweghị ụtụ isi | slow | Premium |
Ndesịta ihenhọrọ nke benchmark
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
Nhazi
Nhazi ule
- Háàrị̀: 4x NVIDIA Tesla P40 (24GB VRAM otu), 96GB zuru ezu
- Nkọwa: 5 standardized passages covering different speech patterns (nkọwa, okwu, teknụzụ, mmetụta uche, asụsụ dị iche iche)
- Nhazi: Automatic metrics (MOS estimation, WER, RTF) jikọtara ya na human listening tests
- Ọrụ: Móòdù ọbụla enyochaala ugboro 10 n'ụbọchị ọbụla, ọnụọgụgụ n'ụbọchị
Nhazi
- Nhazi (40%): Prosody, intonation, rhythm, emotions - olee otú ọ ga-esi dị mmadụ ụtọ?
- Nhazi (30%): Nkọwa ziri ezi, ọnụọgụgụ njehie okwu, nghọta
- Ogo (30%): Real-time factor (audio seconds / generation seconds). Ọnụọgụgụ dị elu = ngwa ngwa.
- Ogo: Wepụtara ọnụọgụgụ: 0.4 x Naturalness + 0.3 x Accuracy + 0.3 x Speed
Ntụziaka: Benchmarks na-egosipụta mmepe na haịdrọịd na ngwe nnwale anyị. Ọdịnaya nke ụwa n'ozuzu ya nwere ike ịdị iche iche site n'input ngwe, asụsụ, na nhọpụta ụda. Ọnụọgụgụ okpukperechi na-enye akara n'ozuzu ya site n'ịrụ ọrụ n'ozuzu ya.
Ajụjụ ndị a na-ajụkarị
Gịnị ka anyị ga-eme ka ọ dịrị mma? Ntụziaka gị na-enyere anyị aka idozi nsogbu.
Chọ̀ọ́ ụda gị zuru ezu
Nwalee ụdị ọbụla n'efu na Kokoro, Piper, VITS, mọọbụ MeloTTS. Achọrọ akaụntụ ọbụla.