KIKUNDI CHA TTSona
Linganisha mifano 20 ya watu wapatao 20+ kwenye maandishi. Alama rasmi, viwango vya jamii, na milinganisho ya kando.
Ulinganifu wa Upande mmoja hadi mwingine
Aina ya maandishi, chagua mifano miwili, na ulinganishe matokeo.
Watu walio vielelezo huru hufanya kazi bila kuwa na akaunti. Tia sahihi na kulinganisha mifano ya malipo.
Kikosi cha Magendo
| # | Mfano | Ofisa | Jumuiya | Viwango Vyako | Mwendo | Tier |
|---|---|---|---|---|---|---|
| 1 |
Kokoro
Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.
82M
1200h
2024
|
4.8 /5 |
5.0
/5
1 print operation status
|
fast | Free | |
| 2 |
CosyVoice 2
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
300M
200000h
2024
|
4.26 /5 | Hakuna kura Bado | medium | Standard | |
| 3 |
Chatterbox
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
300M
2025
|
4.25 /5 | Hakuna kura Bado | medium | Premium | |
| 4 |
StyleTTS 2
Human-level text-to-speech through style diffusion and adversarial training.
100M
585h
2024
|
4.23 /5 | Hakuna kura Bado | medium | Premium | |
| 5 |
Piper
A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.
15M
2023
|
4.15 /5 | Hakuna kura Bado | fast | Free | |
| 6 |
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M
2024
|
4.13 /5 | Hakuna kura Bado | fast | Free | |
| 7 |
Dia TTS
Multi-speaker dialog generation model that creates natural conversations between speakers.
1.6B
2024
|
4.09 /5 | Hakuna kura Bado | medium | Standard | |
| 8 |
VITS
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
25M
585h
2021
|
4.0 /5 | Hakuna kura Bado | fast | Free | |
| 9 |
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B
100000h
2025
|
4.0 /5 | Hakuna kura Bado | medium | Standard | |
| 10 |
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M
2024
|
4.0 /5 | Hakuna kura Bado | medium | Premium | |
| 11 |
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M
2025
|
3.91 /5 | Hakuna kura Bado | medium | Standard | |
| 12 |
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M
2025
|
3.9 /5 | Hakuna kura Bado | medium | Standard | |
| 13 |
Parler TTS
Describe the voice you want in natural language and Parler generates matching speech.
880M
45000h
2024
|
3.83 /5 | Hakuna kura Bado | medium | Standard | |
| 14 |
Tortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
400M
50000h
2022
|
3.7 /5 | Hakuna kura Bado | slow | Premium | |
| 15 |
Bark
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
350M
100000h
2023
|
3.57 /5 | Hakuna kura Bado | slow | Standard | |
| 16 |
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M
100000h
2023
|
— | Hakuna kura Bado | medium | Standard | |
| 17 |
GLM-TTS
Achieves the lowest character error rate among open-source TTS models.
300M
2025
|
— | Hakuna kura Bado | medium | Standard | |
| 18 |
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M
2024
|
— | Hakuna kura Bado | slow | Standard | |
| 19 |
Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
1.7B
2025
|
— | Hakuna kura Bado | medium | Standard | |
| 20 |
Sesame CSM
Conversational speech model generating natural dialogue with appropriate timing and emotion.
1B
2025
|
— | Hakuna kura Bado | slow | Premium | |
| 21 |
Chatterbox Turbo
Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.
350M
2025
|
— | Hakuna kura Bado | fast | Standard | |
| 22 |
Zonos
Emotion-controllable TTS with fine-grained sliders for happiness, anger, sadness, and more.
1.6B
200000h
2025
|
— | Hakuna kura Bado | medium | Standard | |
| 23 |
Dia 2
Streaming-first conversational TTS with multi-speaker dialogue and paralinguistic cues.
2B
2025
|
— | Hakuna kura Bado | fast | Standard | |
| 24 |
VoxCPM
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
500M
1800000h
2025
|
— | Hakuna kura Bado | fast | Standard | |
| 25 |
OuteTTS
LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js.
1B
5000h
2025
|
— | Hakuna kura Bado | fast | Free | |
| 26 |
TADA
Zero-hallucination TTS with text-acoustic dual alignment, 5x faster than comparable LLM TTS.
1B
2026
|
— | Hakuna kura Bado | fast | Standard | |
| 27 |
VibeVoice
Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers.
1.5B
100000h
2025
|
— | Hakuna kura Bado | fast | Standard | |
| 28 |
Pocket TTS
Lightweight 100M parameter model by Kyutai with voice cloning from a single sample.
100M
50000h
2025
|
— | Hakuna kura Bado | fast | Free | |
| 29 |
Kitten TTS
Ultra-lightweight TTS under 80MB. Runs on CPU without GPU.
80M
2025
|
— | Hakuna kura Bado | fast | Free | |
| 30 |
CosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
500M
200000h
2025
|
— | Hakuna kura Bado | 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
|
— | Hakuna kura Bado | medium | Premium | |
| 32 |
MegaTTS3
ByteDance's sparse alignment TTS with adjustable intelligibility vs. speaker similarity.
1B
100000h
2025
|
— | Hakuna kura Bado | slow | Premium |
Michoro ya Benchmark
Alama rasmi ya TTS.ai ina upana wa pande tatu: ukubwa wa kiasili, usahihi, na mwendo wa kasi.
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
Mbinu za Benchmark
Hatua ya Kupimwa
- Habari Ngumu: 4x NVIDIA Tesla P40 (4GB VRAM kwa kila mmoja), jumla ya 96GB
- Maandishi ya mtihani: 5 Mafungu ya kawaida yaliyotia ndani njia tofauti za usemi (kuhara, mazungumzo, ufundi, kihisia - moyo, lugha)
- Evalution: Vifaa vya kupima sauti, WER, RTF, pamoja na majaribio ya wanadamu
- Runs: Kila kiolezo kilijaribiwa mara 10 kwa safari moja, kwa wastani kikiwa vingi mno
Kuchambua Criteria
- Asili (asilimia 40): Msokoto, sauti ya ndani, mdundo, hisia - moyo ni jinsi gani inasikika na binadamu?
- Accuracy (asilimia 30): Ufafanuzi sahihi, kiwango cha maneno chenye makosa, uwezo wa kufikiri
- Mwendo (asilimia 30): Kitendeshi halisi (kipindu cha sekunde / sekunde chache tu). Higher = haraka zaidi.
- Kwa ujumla: Wastani: 0.4 x Naturality + 0.3 x Accuracy + 0.3 x Speet
Angalia: Benchmarms anatafakari juu ya matokeo ya vifaa na maandishi yetu ya majaribio. Sifa ya kweli ya ulimwengu inaweza kutofautiana kwa kutegemea habari za maandishi, lugha, na uteuzi wa sauti.
Maswali Ambayo Watu Huuliza Mara Nyingi
Uwezo wako wa kutatua matatizo ni nini?
Tafuta Sauti Yako Kamilifu
Jaribu kuwa huru na Kokoro, Piper, VITS, au MeloTTS.