Choose Your Model
From open-weight previews to premium commercial solutions, find the perfect TTS model for your needs.
ChindaTTS Open
Open-Weight • Commercial Free
Enhanced version with improved tone accuracy, better quality, and expanded voice variations.
- 2 Speaker Voices
- Improve tone accuracy
- Enhanced audio quality
- Simple emotional control
ChindaTTS Prime
Commercial
Premium commercial version with top-tier quality, advanced features, and enterprise support.
- 3+ Speaker Voices
- Professional-grade quality
- More emotional control
- Enterprise SLA support
Generated Speech Samples
Listen to ChindaTTS in action with Thai, English, and mixed language samples
Thai Sample 1
“สวัสดีครับ ยินดีต้อนรับสู่ ChindaTTS”
English Sample 1
“Welcome to ChindaTTS, a Thai-English text-to-speech model”
Mixed Language Sample
“ChindaTTS คือโมเดลสังเคราะห์เสียงพูดที่รองรับทั้งภาษาไทยและ English”
Thai Sample 2
“เทคโนโลยีปัญญาประดิษฐ์สำหรับการสังเคราะห์เสียงพูดภาษาไทย”
English Sample 2
“High-quality speech synthesis with exceptional intelligibility”
Mixed Sample 2
“ระบบ TTS ที่ออกแบบมาเพื่อ Thai and English languages”
Audio samples generated by ChindaTTS Open Preview.
Performance Metrics
Comprehensive evaluation using ASR-as-a-Judge methodology
Approaching human-level performance
Measures intelligibility and pronunciation accuracy on Thai-English mixed speech
Processing performance on standard GPUs. Research preview - optimization ongoing
ASR-as-a-Judge Evaluation
Generated speech is transcribed using ASR and compared with reference text.
Lower CER indicates better intelligibility and pronunciation accuracy.
* Evaluated on 1,000 randomly selected samples from the test set.
Training Process
Two-stage approach to achieve exceptional quality and natural Thai-English speech
Continuous Pre-training
Building foundational understanding of speech patterns and features across diverse corpora
Teaching the AI to understand how speech works in general
Fine-tuning
Refining speech quality, tonal accuracy, and naturalness with curated Thai-English datasets
Polishing the AI to sound natural and get Thai tones exactly right
System Architecture
Modern LLM-based framework treating speech synthesis as sequential generation
Text Encoder
LLaMA-based transformer processes Thai and English text into contextual embeddings
Converts your text into AI-understandable format
Acoustic Decoder
Generates SNAC tokens per frame for direct temporal speech feature generation
AI plans how to say your text naturally
SNAC Codec
Multi-scale neural audio codec with RVQ for high-fidelity audio reconstruction
Smart audio blocks that keep voice quality high
Audio Output
24kHz waveform with ~200ms latency, preserving temporal consistency
Natural-sounding speech output
Key Advantages
End-to-End Efficiency
Joint learning of text-to-audio without intermediate transformations
One AI system does everything, no complex pipelines
End-to-End Architecture
Direct audio generation without separate vocoder inference
Simpler processing pipeline
Higher Robustness
Better consistency reducing artifacts like frame popping
Works reliably even with unusual text