



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-2.5-hd-preview',
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-2.5-hd-preview",
"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
MiniMax Speech 2.5 HD is a cutting-edge AI-powered speech synthesis solution designed to deliver ultra-realistic, expressive, and high-definition voice output tailored for diverse applications. Powered by state-of-the-art deep learning architectures, MiniMax Speech 2.5 HD supports content creators, developers, and enterprises by providing scalable, customizable voice generation.
✨ Key Features and Technical Overview
🗣️ Extensive Voice Synthesis Scope & Input Handling
MiniMax Speech 2.5 HD supports a wide range of text input formats, including plain text, SSML (Speech Synthesis Markup Language), and custom phoneme sequences. This flexibility allows nuanced control over pronunciation, intonation, emphasis, and pacing, ensuring highly natural and expressive speech output suitable for narration, dialogue, and interactive voice applications.
🚀 Performance & Quality Benchmarks
- ✅ Synthesis Speed: Near real-time audio generation optimized for live streaming, conversational AI, and voice assistant integrations.
- ✅ Audio Quality: Studio-grade speech synthesis with rich HD audio clarity, natural prosody, and seamless emotional expression.
- ✅ Multilingual & Multistyle Support: Over 40 languages and dialects, featuring diverse voice personas including gender variations, accents, and professional tones.
⚙️ Architecture and Technology Behind MiniMax Speech 2.5 HD
MiniMax Speech 2.5 HD leverages a hybrid neural network architecture combining transformer-based sequence models with advanced convolutional layers specifically tuned for speech waveform generation. This architecture integrates text-to-spectrogram conversion and neural vocoder synthesis to produce lifelike voice timbres and subtle speech dynamics. Training utilizes extensive multilingual corpora and rich emotional speech datasets to enhance expressiveness and contextual awareness.
🛠️ Core Capabilities and User Controls
🎨 Personalized Voice Customization
- • Modify voice characteristics such as pitch, speed, and breathiness.
- • Apply emotional tones including happiness, sadness, urgency, or calmness.
- • Use SSML tags to embed pauses, phonetic spellings, and word emphasis for professional-grade narration.
🌐 Practical Applications and Industry Use Cases
- ⭐ Interactive Voice Assistants & Customer Support: Real-time speech generation for smart devices and call center automation.
- ⭐ Media Production & Entertainment: Smooth voiceover creation for films, animations, video games, and e-learning content.
- ⭐ Accessibility Solutions: Text-to-speech customization aiding visually impaired users with natural-sounding narration.
- ⭐ Corporate & Branding: Custom voice personas for brand identity in marketing and virtual spokesperson roles.
💰 API Pricing
- 💲 $0.105 per 1K characters
💻 Code Sample
<snippet data-name="voice.tts-minimax" data-model="minimax/speech-2.5-hd-preview"></snippet>
🆚 MiniMax Speech 2.5 HD vs. Other Leading Speech Models
- ➡️ Versus Google WaveNet: MiniMax Speech 2.5 HD surpasses in emotional expressiveness and custom voice adaptability, whereas WaveNet emphasizes broad platform compatibility.
- ➡️ Versus Amazon Polly: MiniMax offers higher audio quality and finer SSML control, while Polly provides a larger catalog of standard voices.
- ➡️ Versus Microsoft Azure TTS: MiniMax Speech 2.5 HD boasts more natural prosody and multilingual nuance, compared to Azure’s larger international voice set.
- ➡️ Versus IBM Watson Text to Speech: MiniMax excels in real-time synthesis speed and studio-grade HD clarity, whereas IBM focuses on integration flexibility and enterprise security.
❓ Frequently Asked Questions (FAQs)
A: MiniMax Speech 2.5 HD employs an advanced cascaded diffusion architecture with multi-resolution processing that generates speech with exceptional audio fidelity and naturalness. It features hierarchical waveform modeling, advanced spectral processing, and high-resolution audio generation, enabling professional recording studio-quality voices.
A: The HD architecture implements sophisticated audio enhancement pipelines, including advanced noise reduction, professional dynamic range compression, and high-fidelity spectral modeling. These features, combined with material-aware vocal synthesis and professional audio mastering techniques, ensure audio quality that meets broadcast and music production standards.
A: The model demonstrates professional understanding of voice production, including sophisticated emotional delivery with nuanced prosodic variations, advanced breath and articulation modeling, professional pacing and timing control, and studio-grade voice consistency across extended narratives. It generates speech with specific vocal qualities suitable for professional media applications.
A: MiniMax Speech 2.5 HD features advanced narrative understanding with appropriate vocal pacing, character voice differentiation in multi-speaker scenarios, emotional progression, and dramatic interpretation. Its context-aware prosody modeling and emotional arc tracking support complex storytelling and character development.
A: Professional applications like audiobook production, video game dialogue, animated content, advertising voiceover, educational content, and virtual assistant interactions benefit significantly. Its studio-grade output quality and extensive creative control are crucial for media production where voice quality and emotional authenticity impact audience engagement.
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