Talaan ng mga lansangan sa Kalakhang Maynila
> Ihambing ang 20 + teksto-sa-pagsasalita modelo. Opisyal na benchmarks, mga rating ng komunidad, at side-by-side paghahambing.
> Side-by-Side Paghahambing
> I-type ang teksto, pumili ng dalawang modelo, at ihambing ang mga resulta. Free-tier modelo ay hindi nangangailangan ng account.
> Libreng mga modelo ng trabaho nang walang isang account. Mag-sign up > upang ihambing ang mga modelo premium.
> Modelo ng Leaderboard
| # | Modelo | Opisyal | Komunidad | Ang Iyong Rating | Bilis | Mga hayop |
|---|---|---|---|---|---|---|
| 1 |
Kokoro
Lightweight 82M parameter model delivering studio-quality speech with blazing-fast inference.
82M
1200h
2024
|
4.8 /5 |
5.0
/5
1 tl> boto
|
fast | Free | |
| 2 |
CosyVoice 2
Alibaba's scalable streaming TTS with human-parity naturalness and near-zero latency.
300M
200000h
2024
|
4.26 /5 | Walang mga boto pa | medium | Standard | |
| 3 |
Chatterbox
State-of-the-art zero-shot voice cloning with emotion control from Resemble AI.
300M
2025
|
4.25 /5 | Walang mga boto pa | medium | Premium | |
| 4 |
StyleTTS 2
Human-level text-to-speech through style diffusion and adversarial training.
100M
585h
2024
|
4.23 /5 | Walang mga boto pa | medium | Premium | |
| 5 |
Piper
A fast, local neural text to speech system optimized for Raspberry Pi and embedded devices.
15M
2023
|
4.15 /5 | Walang mga boto pa | fast | Free | |
| 6 |
MeloTTS
High-quality multilingual text-to-speech that runs on CPU with minimal latency.
25M
2024
|
4.13 /5 | Walang mga boto pa | fast | Free | |
| 7 |
Dia TTS
Multi-speaker dialog generation model that creates natural conversations between speakers.
1.6B
2024
|
4.09 /5 | Walang mga boto pa | medium | Standard | |
| 8 |
VITS
Conditional variational autoencoder with adversarial learning for end-to-end text-to-speech.
25M
585h
2021
|
4.0 /5 | Walang mga boto pa | fast | Free | |
| 9 |
Orpheus
Human-level emotional TTS model trained on 100K hours of speech data.
3B
100000h
2025
|
4.0 /5 | Walang mga boto pa | medium | Standard | |
| 10 |
OpenVoice
Instant voice cloning with granular control over style, emotion, and accent.
300M
2024
|
4.0 /5 | Walang mga boto pa | medium | Premium | |
| 11 |
IndexTTS-2
Zero-shot TTS with fine-grained emotion control and high expressiveness.
300M
2025
|
3.91 /5 | Walang mga boto pa | medium | Standard | |
| 12 |
Spark TTS
Voice cloning TTS with controllable emotion and speaking style via prompts.
500M
2025
|
3.9 /5 | Walang mga boto pa | medium | Standard | |
| 13 |
Parler TTS
Describe the voice you want in natural language and Parler generates matching speech.
880M
45000h
2024
|
3.83 /5 | Walang mga boto pa | medium | Standard | |
| 14 |
Tortoise TTS
Multi-voice text-to-speech focused on quality with autoregressive architecture.
400M
50000h
2022
|
3.7 /5 | Walang mga boto pa | slow | Premium | |
| 15 |
Bark
Transformer-based text-to-audio model that generates realistic speech, music, and sound effects.
350M
100000h
2023
|
3.57 /5 | Walang mga boto pa | slow | Standard | |
| 16 |
Bark Small
Lighter version of Bark with faster inference and lower memory usage.
150M
100000h
2023
|
— | Walang mga boto pa | medium | Standard | |
| 17 |
GLM-TTS
Achieves the lowest character error rate among open-source TTS models.
300M
2025
|
— | Walang mga boto pa | medium | Standard | |
| 18 |
GPT-SoVITS
Few-shot voice cloning TTS that replicates any voice from just 5 seconds of audio.
200M
2024
|
— | Walang mga boto pa | slow | Standard | |
| 19 |
Qwen3 TTS
Alibaba's multilingual TTS with voice cloning, preset voices, and voice design from text.
1.7B
2025
|
— | Walang mga boto pa | medium | Standard | |
| 20 |
Sesame CSM
Conversational speech model generating natural dialogue with appropriate timing and emotion.
1B
2025
|
— | Walang mga boto pa | slow | Premium | |
| 21 |
Chatterbox Turbo
Faster Chatterbox with sub-200ms latency and paralinguistic tags for laughs, coughs, and more.
350M
2025
|
— | Walang mga boto pa | fast | Standard | |
| 22 |
Dia 2
Streaming-first conversational TTS with multi-speaker dialogue and paralinguistic cues.
2B
2025
|
— | Walang mga boto pa | fast | Standard | |
| 23 |
VoxCPM
Tokenizer-free TTS producing 44.1kHz audio with context-aware paragraph consistency.
500M
1800000h
2025
|
— | Walang mga boto pa | fast | Standard | |
| 24 |
OuteTTS
LLM-based TTS that runs on CPU, GPU, or browser via llama.cpp and Transformers.js.
1B
5000h
2025
|
— | Walang mga boto pa | fast | Free | |
| 25 |
TADA
Zero-hallucination TTS with text-acoustic dual alignment, 5x faster than comparable LLM TTS.
1B
2026
|
— | Walang mga boto pa | fast | Standard | |
| 26 |
VibeVoice
Microsoft's multi-speaker long-form TTS generating up to 90 minutes with 4 distinct speakers.
1.5B
100000h
2025
|
— | Walang mga boto pa | fast | Standard | |
| 27 |
Pocket TTS
Lightweight 100M parameter model by Kyutai with voice cloning from a single sample.
100M
50000h
2025
|
— | Walang mga boto pa | fast | Free | |
| 28 |
Kitten TTS
Ultra-lightweight TTS under 80MB. Runs on CPU without GPU.
80M
2025
|
— | Walang mga boto pa | fast | Free | |
| 29 |
CosyVoice3
Next-generation multilingual TTS with bi-streaming, emotion control, and zero-shot voice cloning.
500M
200000h
2025
|
— | Walang mga boto pa | 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
|
— | Walang mga boto pa | medium | Premium | |
| 31 |
MegaTTS3
ByteDance's sparse alignment TTS with adjustable intelligibility vs. speaker similarity.
1B
100000h
2025
|
— | Walang mga boto pa | slow | Premium |
> Detalyadong Benchmark Scores
Ang opisyal na TTS.ai benchmark scores sa pamamagitan ng tatlong sukat: naturalness, katumpakan, at bilis.
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
> Benchmark pamamaraan
Pag-setup ng pagsubok
- Hardware: 4x NVIDIA Tesla P40 (24GB VRAM bawat isa), 96GB kabuuang
- Test na teksto: >5standardized mga talata na sumasaklaw sa iba't ibang mga pattern ng pagsasalita (paglalarawan, dialogue, teknikal, emosyonal, multilingual)
- Pagtatasa: > Automated metrics (MOS pagtatantya, WER, RTF) pinagsasama sa mga pagsubok na pakikinig ng tao
- Patakbuhin: > Ang bawat modelo na sinubukan 10 beses sa bawat pasahe, puntos averaged
> Mga Pamantayan sa Pagtataya
- > Naturalness (40%): > Prosody, intonasyon, ritmo, emosyon - kung paano tao ito tunog?
- > Katumpakan (30%): > Pagkakamali ng pagbigkas, rate ng pagkakamali ng salita, kaunawaan
- > Bilis (30%): > Real-time na kadahilanan (audio segundo / henerasyon segundo). Mas mataas = mas mabilis.
- Pangkalahatang: > Weighted average: 0.4 x Naturalness + 0.3 x katumpakan + 0.3 x bilis
Tandaan: > Ang mga benchmark ay sumasalamin sa pagganap sa aming partikular na hardware at mga teksto ng pagsubok. Ang kalidad ng real-world ay maaaring mag-iba batay sa input na teksto, wika, at pagpili ng boses. Ang mga rating ng komunidad ay nagbibigay ng isang karagdagang signal batay sa iba't ibang tunay na paggamit.
Mga Madalas Itanong
> Ano ang maaari naming mapabuti? Tutulong sa amin ang iyong feedback na ayusin ang mga isyu.
> Hanapin ang iyong perpektong boses
> Subukan ang anumang modelo ng libre sa Kokoro, Piper, VITS, o MeloTTS. Walang account na kinakailangan.