Text to SpeechQuery Oyang'anira a AI Mtima Kulankhula kwa Malemba Chizindikiro cha mawu Kujambula kwa mawu Malo Ogulitsa Kuwonjezera
Kutumiza Zidziwitso za Zifukwa

TTS Arena - AI Voice Model Leaderboard

Kuyerekeza 20 + masamba a mawu. Ma benchmarks apadera, ma ratings a bungwe, ndi kuyerekezera kwa magulu.

Kulembetsa kwaulere
Tilibe mawu a TTS m'chilankhulo chanu. Tikuthandizeni kuwonjezera anu! Kugulitsa mawu anu

Side-by-Side Kuyerekezera

Tiyeni tipeze mawu, tisankhe mamodeli awiri, ndipo tiyerekeze zotsatira. Mamodeli aulere safunikira akaunti.

Zithunzi zaulere zimagwira ntchito popanda akaunti. Kulembetsa kuti muyerekeze mapangidwe abwino.

Model Leaderboard

# Model Official Mgwirizano Mtengo wanu Kuyenda Mtundu
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 vote
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 Palibe 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 Palibe 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 Palibe 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 Palibe mavoti
fast Free
6
MeloTTS
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M 2024
4.13 /5 Palibe 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 Palibe 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 Palibe mavoti
fast Free
9
Orpheus
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B 100000h 2025
4.0 /5 Palibe mavoti
medium Standard
10
OpenVoice
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M 2024
4.0 /5 Palibe mavoti
medium Premium
11
IndexTTS-2
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M 2025
3.91 /5 Palibe mavoti
medium Standard
12
Spark TTS
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M 2025
3.9 /5 Palibe 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 Palibe 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 Palibe 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 Palibe mavoti
slow Standard
16
Bark Small
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M 100000h 2023
— Palibe mavoti
medium Standard
17
Indic Parler TTS
Indic Parler TTS
High-quality speech for 8+ Indian languages with natural-language voice control.
900M 8000h 2024
— Palibe mavoti
slow Standard
18
KhanomTan TTS
KhanomTan TTS
Thai-first text-to-speech with a choice of speaker voices.
85M 100h 2023
— Palibe mavoti
fast Standard
19
GPT-SoVITS
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M 2024
— Palibe mavoti
slow Standard
20
Qwen3 TTS
Qwen3 TTS
Alibaba's multilingual TTS with preset voices and voice design from text.
1.7B 2025
— Palibe mavoti
medium Standard
21
VieNeu-TTS-v2
VieNeu-TTS-v2
Vietnamese + English code-switching TTS with 7 preset voices and zero-shot voice cloning. CPU-only, no GPU required.
0.3B 10000h 2026
— Palibe mavoti
fast Standard
22
Sesame CSM
Sesame CSM
Conversational speech model generating natural dialogue with appropriate timing and emotion.
1B 2025
— Palibe mavoti
slow Premium
23
Chatterbox Turbo
Chatterbox Turbo
Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.
350M 2025
— Palibe mavoti
fast Standard
24
VoxCPM
VoxCPM
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
500M 1800000h 2025
— Palibe mavoti
fast Standard
25
Kani TTS 2
Kani TTS 2
Ultra-lightweight 400M English TTS model running in just 3GB VRAM.
400M 10000h 2026
— Palibe mavoti
fast Free
26
OuteTTS
OuteTTS
LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js.
1B 5000h 2025
— Palibe mavoti
slow Free
27
VibeVoice
VibeVoice
Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers.
1.5B 100000h 2025
— Palibe mavoti
fast Standard
28
Pocket TTS
Pocket TTS
Lightweight 100M parameter model by Kyutai with voice cloning from a single sample.
100M 50000h 2025
— Palibe mavoti
fast Free
29
Kitten TTS
Kitten TTS
Ultra-lightweight TTS under 80MB. Runs on CPU without GPU.
80M 2025
— Palibe mavoti
fast Free
30
CosyVoice3
CosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
500M 200000h 2025
— Palibe mavoti
fast Standard
31
NAMAA Saudi TTS
NAMAA Saudi TTS
First open Saudi-Arabic TTS. Native Saudi dialect with Chatterbox-quality voice cloning.
300M 2026
— Palibe mavoti
medium Standard
32
Darwin TTS
Darwin TTS
Cross-modal Qwen3-TTS variant with FFN weights blended from the Qwen3-1.7B language model for sharper multilingual cloning.
2.1B 2026
— Palibe mavoti
medium Standard
33
MOSS-TTSD
MOSS-TTSD
Multi-speaker dialogue continuation model — generate podcast-style conversations with up to 5 speakers and 60 minutes of coherent audio.
7B 2026
— Palibe mavoti
medium Standard
34
Ming-Omni TTS
Ming-Omni TTS
Compact 0.5B omni-modal speech model from inclusionAI with high-fidelity 44.1kHz output and zero-shot voice cloning.
500M 2026
— Palibe mavoti
medium Free
35
MOSS-TTS Nano
MOSS-TTS Nano
Tiny 100M MOSS-TTS variant — same architecture, 80x smaller, free-tier latency.
100M 500000h 2026
— Palibe mavoti
fast Free

Mfundo za Benchmark Zowunikira

Official TTS.ai benchmark scores across three dimensions: naturalness, accuracy, and speed.

KokoroKokoro

Free
Chilungamo 4.8/5
Kusintha 4.7/5
Mphamvu 4.9/5
Pafupifupi 4.8/5

CosyVoice 2CosyVoice 2

Standard
Chilungamo 4.5/5
Kusintha 4.4/5
Mphamvu 3.8/5
Pafupifupi 4.26/5

ChatterboxChatterbox

Premium
Chilungamo 4.7/5
Kusintha 4.5/5
Mphamvu 3.4/5
Pafupifupi 4.25/5

StyleTTS 2StyleTTS 2

Premium
Chilungamo 4.5/5
Kusintha 4.3/5
Mphamvu 3.8/5
Pafupifupi 4.23/5

PiperPiper

Free
Chilungamo 3.5/5
Kusintha 4.2/5
Mphamvu 4.95/5
Pafupifupi 4.15/5

MeloTTSMeloTTS

Free
Chilungamo 3.8/5
Kusintha 4.1/5
Mphamvu 4.6/5
Pafupifupi 4.13/5

Dia TTSDia TTS

Standard
Chilungamo 4.6/5
Kusintha 4.3/5
Mphamvu 3.2/5
Pafupifupi 4.09/5

VITSVITS

Free
Chilungamo 3.4/5
Kusintha 4.0/5
Mphamvu 4.8/5
Pafupifupi 4.0/5

OrpheusOrpheus

Standard
Chilungamo 4.3/5
Kusintha 4.1/5
Mphamvu 3.5/5
Pafupifupi 4.0/5

OpenVoiceOpenVoice

Premium
Chilungamo 4.0/5
Kusintha 4.1/5
Mphamvu 3.9/5
Pafupifupi 4.0/5

IndexTTS-2IndexTTS-2

Standard
Chilungamo 4.3/5
Kusintha 4.1/5
Mphamvu 3.2/5
Pafupifupi 3.91/5

Spark TTSSpark TTS

Standard
Chilungamo 4.2/5
Kusintha 4.0/5
Mphamvu 3.4/5
Pafupifupi 3.9/5

Parler TTSParler TTS

Standard
Chilungamo 4.1/5
Kusintha 3.9/5
Mphamvu 3.4/5
Pafupifupi 3.83/5

Tortoise TTSTortoise TTS

Premium
Chilungamo 4.6/5
Kusintha 4.4/5
Mphamvu 1.8/5
Pafupifupi 3.7/5

BarkBark

Standard
Chilungamo 4.2/5
Kusintha 3.8/5
Mphamvu 2.5/5
Pafupifupi 3.57/5

Benchmark Methodology

Kuyeserera Kukhazikitsa

  • Mawindo 4x NVIDIA Tesla P40 (24GB VRAM iliyonse), 96GB yoposa
  • Kuyesa mawu: 5 standardized masamba okhudzana ndi zosiyanasiyana mawu chitsanzo (narration, macheza, kapangidwe, chisoni, multilingual)
  • Kuyerekezera: Automated metrics (MOS kuyerekezera, WER, RTF) kuphatikizidwa ndi anthu kumvetsera zitsanzo
  • Kuyenda: Mtundu uliwonse umayesedwa nthawi 10 paulendo, magwiridwe antchito amawerengedwa

Kulemba

  • Kuwoneka bwino (40%): Prosody, intonation, rhythm, emotion - kodi ndi anthu bwanji?
  • Kuyenera (30%): Kumvetsetsa kwa mawu, kuchuluka kwa mawu, kumvetsetsa
  • Kuthamanga (30%): Real-nthawi factor (audio masekondi / kubadwa masekondi). Higher = mofulumira.
  • Pafupifupi: Mwachitsanzo: 0.4 x Naturalness + 0.3 x Accuracy + 0.3 x Speed

Zikumbutso: Ma benchmarks amasonyeza ntchito ya zida zathu zapadera komanso malemba athu oyeserera. Ubwino wa m'moyo weniweni ukhoza kukhala wosiyana malinga ndi malemba, zinenero ndi mawu osankhidwa.

Funso Lofunsidwa Kawirikawiri

The TTS Arena ndi leaderboard kuti rankings AI malemba-ku-kulankhula mafano mogwirizana ndi ovomerezeka benchmark maphunziro ndi bungwe ratings.Compare mafano side-by-side, kumvetsera zitsanzo, ndi kuvota kwa amene akuoneka bwino kwa inu.

Timachita maphunziro ovomerezeka pazinthu zonse pogwiritsa ntchito mawu ofanana, zida, ndi zikhalidwe zoyendetsera. Maphunzirowa amaphatikizapo kumvetsetsa (kumvetsetsa mawu), kumvetsetsa (kumvetsetsa mawu) ndi kuthamanga (nthawi yopanga mawu). Maphunziro onsewa amagwiritsa ntchito GPU server yathu ndi NVIDIA Tesla P40 GPUs.

Yesani! Dinani ma nyenyezi pafupi ndi mtundu uliwonse kuti muwawonetse kuchokera pa 1 mpaka 5. Muyenera kukhala wolembetsa kuti musankhe. Kuwonetsa kwanu kumaphatikizapo kuchuluka kwa anthu omwe akuwonetsedwa pa board. Mukhoza kusintha kuwonetsa kwanu nthawi iliyonse.

Pitani ku bokosi lakuti "Chotsani" ndipo dinani "Chotsani".

Naturalness imawerengera momwe mawu amawoneka ngati anthu (prosody, intonation, rhythm). Accuracy imawerengera momwe mawu amatanthauziridwe bwino komanso kumvetsa bwino. Speed imawerengera momwe model imapangira mawu mofulumira poyerekeza ndi nthawi yoyenera. Overall ndi m'badwo wapakati wa zonsezi.

Models popanda benchmark scores ndi kapena tsopano anawonjezera ndi kuyembekezera kuyesa, kapena kufunikira padera setup (monga gated access tokens) kuti ndi kuyembekezera.

Ma benchmarks apadera amasinthidwa pamene mamodeli amalandira zosintha zofunikira kapena pamene mamodeli atsopano amawonjezeredwa. Ma ratings a bungwe amasinthidwa nthawi yachidule monga momwe ogwiritsa ntchito amasankhira.

Mapangidwe aulere (Kokoro, Piper, VITS, MeloTTS) salipira ndalama zowonjezera ndipo amagwiritsa ntchito ndalama zanu zaulere. Mapangidwe a Standard amagwiritsa ntchito ma characters 2x (mwachitsanzo, ma characters 1,000 a mauthenga amawononga ma characters 2,000 kuchokera ku akaunti yanu). Mapangidwe a Premium amagwiritsa ntchito ma characters 4x ndipo nthawi zambiri amapatsa zinthu zapamwamba kwambiri kapena zosadziwika bwino monga kujambula mawu.

Kwa ambiri ntchito, Kokoro (free tier) amapatsa zabwino kwambiri. Kwa kujambula mawu, gwiritsani ntchito Chatterbox kapena CosyVoice 2. Kwa zinthu zosiyanasiyana, MeloTTS kapena CosyVoice 2. Kwa kufotokoza mawu, Bark kapena Dia.

Inde, mutha kupanga ndi kuyerekezera ma audio kuchokera ku ma modeli awiri popanda akaunti pogwiritsa ntchito ma modeli aulere. Kusankha ma modeli kumafuna akaunti yopanda malire.

Timachita zonse zomwe tingathe kuti tikwaniritse cholinga chathu pogwiritsa ntchito malemba oyeserera ovomerezeka, zida zofanana, ndi zikhalidwe zogwirizana pazoyeserera zonse. Ma ratings a m'madera amapatsanso umboni wina wopanda malire.

Models ndi osankhidwa mwamsanga ndi ovomerezeka benchmark mfundo zonse, kenako ndi bungwe mwamsanga rating monga tiebreaker. Models popanda benchmarks ndi osankhidwa pansi pa amene ali ndi benchmarks, osankhidwa ndi bungwe rating.
5.0/5 (1)

Kodi tingachitire chiyani kuti tisinthe? Maganizo anu amatithandiza kuchotsa mavuto.

Pezani mawu anu abwino

Muthanso kugwiritsa ntchito Kokoro, Piper, VITS, kapena MeloTTS kuti musinthe mawu anu kukhala mawu a m'Chisipanishi.

Kulembetsa kwaulere Onani mtengo