TTS Arena - AI овоз моделлари рейтинги
20+ матн-нутқ моделларини солиштиринг. Расмий бенчмарклар, жамоат рейтинглари ва ёнма-ён солиштириш.
Бир-бири билан таққослаш
Матнни киритинг, иккита моделни танланг ва натижаларни солиштиринг. Бепул-даражали моделлар учун ҳисоб керак эмас.
Бепул моделлар ҳисобсиз ишлайди. Ёзиш Premium моделларини солиштириш учун.
Лидер панели модели
| # | Модель | Расмий | Жамият | Сизнинг баҳонгиз | Тезлик | Тир |
|---|---|---|---|---|---|---|
| 1 |
Kokoro
Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.
82M
1200h
2024
|
4.8 /5 |
5.0
/5
1 овоз
|
fast | Free | |
| 2 |
CosyVoice 2
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
300M
200000h
2024
|
4.26 /5 | Ҳозирча овоз йўқ | medium | Standard | |
| 3 |
Chatterbox
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
300M
2025
|
4.25 /5 | Ҳозирча овоз йўқ | medium | Premium | |
| 4 |
StyleTTS 2
Human-level text-to-speech through style diffusion and adversarial training.
100M
585h
2024
|
4.23 /5 | Ҳозирча овоз йўқ | medium | Premium | |
| 5 |
Piper
A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.
15M
2023
|
4.15 /5 | Ҳозирча овоз йўқ | fast | Free | |
| 6 |
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M
2024
|
4.13 /5 | Ҳозирча овоз йўқ | fast | Free | |
| 7 |
Dia TTS
Multi-speaker dialog generation model that creates natural conversations between speakers.
1.6B
2024
|
4.09 /5 | Ҳозирча овоз йўқ | medium | Standard | |
| 8 |
VITS
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
25M
585h
2021
|
4.0 /5 | Ҳозирча овоз йўқ | fast | Free | |
| 9 |
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B
100000h
2025
|
4.0 /5 | Ҳозирча овоз йўқ | medium | Standard | |
| 10 |
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M
2024
|
4.0 /5 | Ҳозирча овоз йўқ | medium | Premium | |
| 11 |
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M
2025
|
3.91 /5 | Ҳозирча овоз йўқ | medium | Standard | |
| 12 |
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M
2025
|
3.9 /5 | Ҳозирча овоз йўқ | medium | Standard | |
| 13 |
Parler TTS
Describe the voice you want in natural language and Parler generates matching speech.
880M
45000h
2024
|
3.83 /5 | Ҳозирча овоз йўқ | medium | Standard | |
| 14 |
Tortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
400M
50000h
2022
|
3.7 /5 | Ҳозирча овоз йўқ | slow | Premium | |
| 15 |
Bark
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
350M
100000h
2023
|
3.57 /5 | Ҳозирча овоз йўқ | slow | Standard | |
| 16 |
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M
100000h
2023
|
— | Ҳозирча овоз йўқ | medium | Standard | |
| 17 |
GLM-TTS
Achieves the lowest character error rate among open-source TTS models.
300M
2025
|
— | Ҳозирча овоз йўқ | medium | Standard | |
| 18 |
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M
2024
|
— | Ҳозирча овоз йўқ | slow | Standard | |
| 19 |
Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
1.7B
2025
|
— | Ҳозирча овоз йўқ | medium | Standard | |
| 20 |
Sesame CSM
Conversational speech model generating natural dialogue with appropriate timing and emotion.
1B
2025
|
— | Ҳозирча овоз йўқ | slow | Premium | |
| 21 |
Chatterbox Turbo
Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.
350M
2025
|
— | Ҳозирча овоз йўқ | fast | Standard | |
| 22 |
Dia 2
Streaming-first conversational TTS with multi-speaker dialogue and paralinguistic cues.
2B
2025
|
— | Ҳозирча овоз йўқ | fast | Standard | |
| 23 |
VoxCPM
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
500M
1800000h
2025
|
— | Ҳозирча овоз йўқ | fast | Standard | |
| 24 |
OuteTTS
LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js.
1B
5000h
2025
|
— | Ҳозирча овоз йўқ | fast | Free | |
| 25 |
TADA
Zero-hallucination TTS with text-acoustic dual alignment, 5x faster than comparable LLM TTS.
1B
2026
|
— | Ҳозирча овоз йўқ | fast | Standard | |
| 26 |
VibeVoice
Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers.
1.5B
100000h
2025
|
— | Ҳозирча овоз йўқ | fast | Standard | |
| 27 |
Pocket TTS
Lightweight 100M parameter model by Kyutai with voice cloning from a single sample.
100M
50000h
2025
|
— | Ҳозирча овоз йўқ | fast | Free | |
| 28 |
Kitten TTS
Ultra-lightweight TTS under 80MB. Runs on CPU without GPU.
80M
2025
|
— | Ҳозирча овоз йўқ | fast | Free | |
| 29 |
CosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
500M
200000h
2025
|
— | Ҳозирча овоз йўқ | fast | Standard | |
| 30 |
MOSS-TTS
Ultra-long 20-language TTS supporting up to 1 hour of continuous generation with phoneme-level control.
8B
500000h
2026
|
— | Ҳозирча овоз йўқ | medium | Premium | |
| 31 |
MegaTTS3
ByteDance's sparse alignment TTS with adjustable intelligibility vs. speaker similarity.
1B
100000h
2025
|
— | Ҳозирча овоз йўқ | slow | Premium |
Тафсилотли бенчмарк баллари
Расмий TTS.ai бенчмарки уч ўлчам бўйича баҳолайди: табиийлик, аниқлик ва тезлик.
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
Методология
Синаб кўриш ўрнатиш
- Жадвал: 4x NVIDIA Tesla P40 (ҳар бири 24GB VRAM), жами 96GB
- Синаб кўриш матни: 5 та стандартлаштирилган абзац турли сўзлашув услубларини қамраб олади (ҳикоя, диалог, техник, ҳиссий, кўп тилли)
- Ўлчов: Автоматлаштирилган метрикалар (MOS баҳолаш, WER, RTF) инсон эшитиш синовлари билан биргаликда
- Юклашлар: Ҳар бир модел 10 марта синовдан ўтказилган, натижа ўртача
Балллаш мезонлари
- Табиийлик (40%): Прозодия, интонация, ритми, эмоционаллиги — бу қанчалик инсоний?
- Дастлабки аниқлик (30%): Тасвирнинг тўғрилиги, сўз хатолиги, тушунарлилиги
- Тезлик (30%): Тўғридан-тўғри вақт фактори (аудио сониялари / яратиш сониялари). Кўпроқ = тезроқ.
- Жами: Умумий ўртача: 0.4 x табиийлик + 0.3 x аниқлик + 0.3 x тезлик
Эслатма: Бенчмарклар бизнинг махсус жиҳозларимиз ва синов матнларимизда ишлашини акс эттиради. Ҳақиқий сифат киритилган матн, тил ва овоз танловига қараб ўзгариши мумкин. Жамият рейтинглари турли реал фойдаланувчиларга асосланган қўшимча сигнални тақдим этади.
Кўп бериладиган саволлар
Биз нимани яхшилашимиз мумкин? Сизнинг фикрингиз бизга муаммоларни ҳал қилишга ёрдам беради.
Мукаммал овозингизни топинг
Kokoro, Piper, VITS ёки MeloTTS билан ҳар қандай моделни бепул синаб кўринг. Ҳисоб талаб этилмайди.