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const axios = require('axios').default;
const api = axios.create({
baseURL: 'https://api.ai.cc/v1',
headers: { Authorization: 'Bearer ' },
});
const main = async () => {
const response = await api.post('/tts', {
model: 'alibaba/qwen3-tts-flash',
text: 'Qwen3 Speech Synthesis offers a range of natural, human-like voices with support for multiple languages and dialects. It can produce multilingual speech in a consistent voice, adapting tone and intonation to deliver smooth, expressive narration even for complex text.',
voice: 'Cherry',
});
console.log('Audio URL:', response.data.audio.url);
console.log('Characters:', response.data.usage.characters);
};
main();
import requests
def main():
url = "https://api.ai.cc/v1/tts"
headers = {
"Authorization": "Bearer ",
}
payload = {
"model": "alibaba/qwen3-tts-flash",
"text": "Qwen3 Speech Synthesis offers a range of natural, human-like voices with support for multiple languages and dialects. It can produce multilingual speech in a consistent voice, adapting tone and intonation to deliver smooth, expressive narration even for complex text.",
"voice": "Cherry"
}
response = requests.post(url, headers=headers, json=payload)
data = response.json()
print("Audio URL:", data["audio"]["url"])
print("Characters:", data["usage"]["characters"])
main()
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Product Detail
Qwen3-TTS-Flash: Ultra-Low Latency, High-Naturalness Text-to-Speech
Qwen3-TTS-Flash, powered by Alibaba's Qwen, stands as an advanced text-to-speech (TTS) engine engineered for exceptional speed and highly natural speech synthesis. It is meticulously designed to provide ultra-low latency, making it a standout choice for real-time interactive applications. Its proficiency extends to generating speech across multiple languages and dialects with state-of-the-art stability and expressiveness, ideal for virtual assistants, gaming NPCs, and sophisticated interactive voice response (IVR) systems.
Technical Specifications
- ⚙️ Model Architecture: Transformer-based encoder-decoder, specifically optimized for low-latency inference.
- 📚 Training Data: Utilizes extensive datasets, covering 119 languages for text understanding and 19 languages for speech understanding.
- 🗣️ Output Languages: Focused support for 10 languages, including multi-dialect variations for enhanced authenticity.
- 🎙️ Voices: Comes with 17 diverse built-in voice presets, allowing for effortless switching without the need for retraining.
- ⚡ Latency: Achieves single-threaded first-packet latency as remarkably low as 97 milliseconds.
- 🚀 Deployment: Versatile for integration into chatbots, IVR systems, gaming platforms, and various content creation tools.
Performance Benchmarks
Qwen3-TTS-Flash delivers exceptional performance in text-to-speech synthesis, achieving a Mean Opinion Score (MOS) exceeding 4.3 out of 5. This score reflects its superior naturalness and pristine voice clarity.
The model synthesizes speech up to five times faster than real-time on standard cloud GPU instances, making it highly efficient for demanding low-latency applications. It offers robust prosody control, enabling highly expressive speech with a wide range of speaking styles and emotional tones. Intelligibility tests further confirm Qwen3-TTS-Flash produces speech with near-perfect word error rates when evaluated by automatic speech recognition systems.
Consistency is key, and this model maintains high-quality output across its supported languages, primarily English and Chinese. It also demonstrates strong resilience in handling out-of-vocabulary words and ambiguous pronunciations, ensuring reliable and versatile voice generation for diverse content.
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Key Capabilities
- ✨ High-Fidelity Voice: Generates exceptionally clear, natural-sounding speech, perfect for professional audio content and engaging user experiences.
- 🚀 Ultra-Fast Synthesis: Engineered for minimal latency voice generation, suitable for both real-time streaming and high-volume batch processing.
- 🌐 Multilingual Support: Offers flexible voice model configurations to support a wide array of languages and their respective dialects.
- 🎶 Prosody and Style Control: Provides granular control over pitch, speaking speed, and intonation, allowing for highly expressive and emotionally nuanced speech.
- 📦 Lightweight Deployment: Its efficient architecture enables versatile deployment scenarios, from edge devices to cloud-based infrastructures.
- 📖 Open-Source Access: Available under the Apache 2.0 license, facilitating extensive customization and seamless integration into various projects.
API Pricing
- 💰 Cost: $0.0105 per 1K characters synthesized.
Optimal Use Cases
Qwen3-TTS-Flash is ideally suited for applications demanding rapid, natural, and high-quality voice synthesis:
- 🤖 Conversational AI: Virtual assistants and chatbots requiring instant, natural voice responses.
- 🎧 Audiobook & Podcast Production: Generating high-quality synthetic narration for rich audio content.
- ♿ Accessibility Tools: Enhancing screen readers and voice-enabled devices with natural speech.
- 🌍 Multilingual Content: Efficient voice-over and localization for global content distribution.
- 💡 Real-time Speech Interfaces: Integration into smart devices, automotive systems, and IoT applications.
- 📞 IVR & Customer Service: Powering interactive voice response systems and customer service bots with dynamic, natural voices.
Code Sample
Below is a sample code snippet for integrating Qwen3-TTS-Flash:
Comparison with Other Leading Models
Qwen3-TTS-Flash differentiates itself from other market leaders through key advantages:
- 🆚 vs Google WaveNet: While WaveNet offers very high synthesis quality and broad language coverage, Qwen3-TTS-Flash matches its high synthesis quality (MOS above 4.3) but significantly surpasses it with ultra-low, near real-time latency compared to WaveNet's moderate latency. Both support prosody control.
- 🆚 vs Amazon Polly Neural: Qwen3-TTS-Flash provides superior quality and more advanced prosody control compared to Amazon Polly's high but more basic control. A distinct advantage is Qwen3-TTS-Flash's support for edge deployment, unlike Polly which is primarily cloud-based.
- 🆚 vs OpenAI Whisper: Qwen3-TTS-Flash is a specialized, high-quality TTS engine with robust multilingual voice synthesis. OpenAI Whisper, conversely, primarily focuses on ASR (Automatic Speech Recognition) and offers limited TTS capabilities, notably lacking advanced prosody control.
API Integration
Qwen3-TTS-Flash is easily accessible via the AI/ML API. For comprehensive guidance on integration and usage, please refer to the official documentation:
Original Source: Qwen3-TTS-Flash Overview (Example URL, please replace if actual title is different)
Frequently Asked Questions (FAQs)
Q: What makes Qwen3-TTS-Flash unique for real-time applications?
A: Qwen3-TTS-Flash is designed for ultra-low latency, achieving a first-packet latency as low as 97 milliseconds. This speed, combined with high naturalness and expressiveness, makes it exceptionally suitable for interactive real-time applications like virtual assistants and gaming NPCs.
Q: How extensive is Qwen3-TTS-Flash's language support?
A: The model's training data covers 119 languages for text and 19 languages for speech understanding. It provides focused, high-quality speech output for 10 languages, including support for various dialects, making it highly versatile for multilingual content.
Q: Can I customize the voice styles and emotions?
A: Yes, Qwen3-TTS-Flash offers strong prosody and style control. You can adjust parameters such as pitch, speaking speed, and intonation to achieve a wide range of expressive speech styles and emotional tones, enhancing the naturalness and engagement of the synthesized voice.
Q: What are the deployment options for Qwen3-TTS-Flash?
A: Its efficient and lightweight architecture allows for flexible deployment in both edge and cloud scenarios. This makes it suitable for integration into smart devices, automotive systems, IoT, chatbots, IVR systems, and various content creation platforms.
Q: Is Qwen3-TTS-Flash an open-source solution?
A: Yes, Qwen3-TTS-Flash is released under the Apache 2.0 license, which permits extensive customization and seamless integration into various projects and products, offering developers great flexibility.
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