TTS Arena - AI Voice Model Leaderboard
E whakataurite ana ki ngā tauira tuhi-ki-te-kōrero 20+: ngā tohutoro ā-kāwanatanga, ngā arotakenga hapori, me te whakataurite taha-ki-te-taha.
He whakataurite taha-ki-te taha
E tātai ana i te kupu, e kōwhiri ana i ngā tauira e rua, ā, ka whakataurite i ngā hua. Kāore e hiahiatia ana ngā tauira taumata-whāiti.
Ka mahi ngā tauira wātea me te kore tatauranga. Whakawhanake Hei whakataurite i ngā tauira utu.
Kāhua Leaderboard
| # | Kāhua | Kāwanatanga | Te iwi whānui | Ko tātou arotakenga | Āhuatanga | Te āhua |
|---|---|---|---|---|---|---|
| 1 |
Kokoro
Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.
82M
1200h
2024
|
4.8 /5 |
5.0
/5
1 Ko te pōti
|
fast | Free | |
| 2 |
CosyVoice 2
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
300M
200000h
2024
|
4.26 /5 | Kāore he pōti | medium | Standard | |
| 3 |
Chatterbox
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
300M
2025
|
4.25 /5 | Kāore he pōti | medium | Premium | |
| 4 |
StyleTTS 2
Human-level text-to-speech through style diffusion and adversarial training.
100M
585h
2024
|
4.23 /5 | Kāore he pōti | medium | Premium | |
| 5 |
Piper
A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.
15M
2023
|
4.15 /5 | Kāore he pōti | fast | Free | |
| 6 |
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M
2024
|
4.13 /5 | Kāore he pōti | fast | Free | |
| 7 |
Dia TTS
Multi-speaker dialog generation model that creates natural conversations between speakers.
1.6B
2024
|
4.09 /5 | Kāore he pōti | medium | Standard | |
| 8 |
VITS
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
25M
585h
2021
|
4.0 /5 | Kāore he pōti | fast | Free | |
| 9 |
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B
100000h
2025
|
4.0 /5 | Kāore he pōti | medium | Standard | |
| 10 |
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M
2024
|
4.0 /5 | Kāore he pōti | medium | Premium | |
| 11 |
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M
2025
|
3.91 /5 | Kāore he pōti | medium | Standard | |
| 12 |
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M
2025
|
3.9 /5 | Kāore he pōti | medium | Standard | |
| 13 |
Parler TTS
Describe the voice you want in natural language and Parler generates matching speech.
880M
45000h
2024
|
3.83 /5 | Kāore he pōti | medium | Standard | |
| 14 |
Tortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
400M
50000h
2022
|
3.7 /5 | Kāore he pōti | slow | Premium | |
| 15 |
Bark
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
350M
100000h
2023
|
3.57 /5 | Kāore he pōti | slow | Standard | |
| 16 |
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M
100000h
2023
|
— | Kāore he pōti | medium | Standard | |
| 17 |
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M
2024
|
— | Kāore he pōti | slow | Standard | |
| 18 |
Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
1.7B
2025
|
— | Kāore he pōti | medium | Standard |
Ko ngā pūkete taurite mōhiohio
E toru nga ahu o ngā pūkete tohu TTS.ai whai mana: te mātauranga, te tika, me te tere.
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
Aratuka tohutoro
Ka whakaritea te whakamātautau
- Pāpāho: 4x NVIDIA Tesla P40 (24GB VRAM ia), 96GB katoa
- Ka whakamātauria te kupu: Ko ngā wāhanga paerewa e 5 e taupoki ana i ngā tauira kōrero rerekē (whakaari, kōrero, hangarau, ā-hinengaro, ā-hinengaro).
- Arotakenga: Ka whakakotahitia ngā tauine aunoa (ngā aromatawai MOS, WER, RTF) me ngā whakamātautau whakarongo tangata.
- Ka haere: 10 ngā wā i whakamātauria ia tauira i ia whakawhitinga, i whakawaengatia ngā pūkete
Whakataurite i ngā paerewa
- Ko te māoritanga (40%): Prosody, intonation, rhythm, emotion - he pēhea te āhua o te tangata?
- Te tika (30%): Te tika o te kōrero, te ōrautanga hē o te kupu, te mārama
- Te tere (30%): Taumaha ake te āhuatanga wā tūturu (wae reo / wae whakatupuranga). Tiketike ake = tere ake.
- Ko te katoa: Tauwaenga taumaha: 0.4 x Naturalness + 0.3 x Te tika + 0.3 x Te tere
Kitenga: Ko ngā tohu tohu e tohu ana i te mahi i runga i a tātau pūrere me ngā kupu whakamātautau tauwhāiti. Ka rerekē pea te āhuatanga o te ao tūturu i runga anō i te kupu tāuru, te reo, me te kōwhiringa reo. Ko ngā arotakenga hapori e whakarato ana i tētahi tohu tāpiri i runga anō i ngā whakamahinga pono rerekē.
E pā ana ngā pātai
Ki te kimi i tōna oro pai rawa
Whakamātau i tētahi tauira wātea me Kokoro, Piper, VITS, MeloTTS rānei. Kāore he tatau e hiahiatia ana.