



const fs = require('fs');
const path = require('path');
const axios = require('axios').default;
const api = new axios.create({
baseURL: 'https://api.ai.cc/v1',
headers: { Authorization: 'Bearer ' },
});
const main = async () => {
const response = await api.post(
'/tts',
{
model: 'minimax/speech-2.6-turbo',
text: 'Hi! What are you doing today?',
voice_setting: {
voice_id: 'Wise_Woman'
}
},
{ responseType: 'stream' },
);
const dist = path.resolve(__dirname, './audio.wav');
const writeStream = fs.createWriteStream(dist);
response.data.pipe(writeStream);
writeStream.on('close', () => console.log('Audio saved to:', dist));
};
main();
import os
import requests
def main():
url = "https://api.ai.cc/v1/tts"
headers = {
"Authorization": "Bearer ",
}
payload = {
"model": "minimax/speech-2.6-turbo",
"text": "Hi! What are you doing today?",
"voice_setting": {
"voice_id": 'Wise_Woman'
}
}
response = requests.post(url, headers=headers, json=payload, stream=True)
dist = os.path.join(os.path.dirname(__file__), "audio.wav")
with open(dist, "wb") as write_stream:
for chunk in response.iter_content(chunk_size=8192):
if chunk:
write_stream.write(chunk)
print("Audio saved to:", dist)
main()
-
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Product Detail
🚀 Discover MiniMax Speech 2.6 Turbo: Advanced AI Speech Synthesis
Built upon cutting-edge neural architectures, MiniMax Speech 2.6 Turbo redefines professional-grade speech synthesis. It delivers human-like and emotionally expressive audio, making it sound incredibly natural. With support for over 40 languages and dialects, this API is perfectly suited for a global audience. Experience rapid response times without any compromise on audio clarity or voice nuance, ideal for demanding, real-time applications.
Detailed Technical Specifications
- ✨ Sample Rate: Up to 44,100 Hz – ensuring superior audio fidelity.
- ⚙️ Bitrate: Up to 256,000 kbps – for crystal-clear sound quality.
- ⚡ Latency: Ultra-low end-to-end latency under 250 milliseconds – perfect for live interactions.
- 🌍 Language Support: Comprehensive coverage with 40+ languages and dialects.
- 🗣️ Voice Options: Choose from over 300 curated voices, plus advanced fluent voice cloning capabilities.
- 🔢 Specialized Format Handling: Automatically reads complex entities like phone numbers, URLs, IP addresses, dates, and monetary amounts in natural language.
- 🎭 Expressivity Controls: Fine-tune emotion, speaking style, speed, and pitch for unparalleled voice customization.
🏅 Performance Benchmarks & Key Advantages
- Rapid Responsiveness: Achieves sub-250 ms latency, optimally tuned for live conversations and interactive voice agents.
- High-Fidelity Audio: Produces broadcast-quality sound, perfect for customer support, accessibility tools, and media production.
- Advanced Voice Cloning: Our fluent LoRA voice cloning technique ensures accurate, natural voice reproduction even from imperfect source recordings.
- Seamless Multilingual Support: Experience flawless pronunciation and emotional tone inference across multiple languages.
💡 Core Features at a Glance
- Ultra-Low Latency: Crucial for real-time interactive voice bots and live assistance.
- Extensive Multilingual Coverage: Empowering global deployment with a broad spectrum of language support.
- Expressive Vocal Control: Adjust tone and emotion manually, or leverage the model's intelligence for automatic inference.
- Smart Entity Reading: Minimize preprocessing efforts as the API intelligently interprets complex tokens (e.g., monetary values) into natural sentences.
- Scalable Voice Cloning: Quickly generate custom, fluent voices using state-of-the-art adaptation methods.
💲 MiniMax Speech 2.6 Turbo API Pricing
Only $0.063 per 1,000 characters
🎯 Key Use Cases for MiniMax Speech 2.6 Turbo
- Conversational Voice Agents: Create highly responsive automated customer service and IVR systems with incredibly natural speech flow.
- Smart Devices: Power in-car assistants, smart speakers, and IoT devices that demand rapid, natural voice feedback.
- Media Production: Enhance audiobooks, podcasts, and marketing voiceovers with rich emotional nuance and professional-grade fidelity.
- Accessibility Tools: Develop personalized read-aloud features, educational applications, and regionally adapted voices for improved comprehension.
- Localization: Facilitate the fast creation of brand-safe voice clones for multilingual markets and specific regional accents.
💻 Code Sample
A typical integration might look something like this:
// Example using a hypothetical client library
import minimax_speech_client as ms
api_key = "YOUR_API_KEY"
text_to_synthesize = "Hello, this is MiniMax Speech 2.6 Turbo."
voice_id = "standard_female_1" // Example voice ID
client = ms.MiniMaxSpeechClient(api_key)
audio_data = client.synthesize_speech(
text=text_to_synthesize,
voice=voice_id,
language="en-US"
)
// Save or stream the audio_data
with open("output.mp3", "wb") as f:
f.write(audio_data)
Note: This is a simplified illustrative code example. Actual implementation may vary based on SDK/API specifics.
🆚 MiniMax Speech 2.6 Turbo: How It Compares
- vs. Google Cloud TTS: Both offer high-quality voices. However, MiniMax Speech 2.6 Turbo stands out with more human-like emotional nuances and superior prosody, while Google Cloud TTS often prioritizes clarity and neutrality.
- vs. Amazon Polly: Amazon Polly typically demands more computational power for its high-quality output. In contrast, MiniMax Speech 2.6 Turbo is optimized for lower-resource environments, making it highly efficient for mobile and edge devices.
- vs. Microsoft Azure TTS: MiniMax Speech 2.6 Turbo provides superior voice naturalness, especially when it comes to emotional tones. Microsoft Azure TTS can sometimes sound more robotic or monotone in comparison.
❓ Frequently Asked Questions (FAQ)
A: It's an advanced speech synthesis API leveraging cutting-edge neural networks to produce highly human-like and emotionally expressive speech across 40+ languages, optimized for speed and clarity.
A: MiniMax Speech 2.6 Turbo is engineered for real-time applications, achieving end-to-end latency under 250 milliseconds, making it ideal for interactive conversations and live assistance systems.
A: Yes, the API offers comprehensive expressivity controls, allowing manual adjustments to emotion, speaking style, speed, and pitch. The model can also intelligently infer these automatically.
A: It utilizes a fluent LoRA voice cloning technique to generate accurate and natural custom voices quickly, even from less-than-perfect source recordings, making it scalable for various applications.
A: Absolutely. It is optimized for lower-resource environments, making it particularly efficient for mobile and edge devices where computational power might be limited, unlike some competitor models.
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