Minimax Speech 02 HD - AI Audio Models Tool

Overview

Minimax Speech 02 HD is a high-fidelity text-to-audio model positioned for production-grade voice synthesis tasks such as voiceovers, audiobooks, and digital narration. The model emphasizes realistic timbre, support for emotional expression, and voice cloning capabilities to reproduce a target speaker’s characteristics from a short reference sample. It also advertises multilingual support to synthesize speech across multiple languages and accents, making it suitable for global content creation pipelines. The model is published on Replicate (https://replicate.com/minimax/speech-02-hd), where it is described as optimized for long-form and broadcast-quality outputs. Typical workflows include generating a natural-sounding audiobook narration from plain text, creating alternate-language dubs while preserving voice identity, and producing expressive marketing voiceovers with adjustable emotion and prosody. Specific technical details such as model size, sample rates, latency, and formal benchmark scores were not verifiable in this session; for exact input schema, supported formats, and performance numbers, consult the model page on Replicate or the provider’s docs.

Key Features

• High-fidelity speech synthesis optimized for broadcast and audiobook quality
• Voice cloning from short reference audio to reproduce speaker timbre
• Configurable emotional expression and prosody control
• Multilingual synthesis with support for multiple languages and accents
• Integrates via Replicate for easy API-based generation and deployment

Example Usage

Example (python):

import replicate

# Example: generating audio with the Replicate model "minimax/speech-02-hd".
# NOTE: Input field names and available options vary by model. Check the model page
# (https://replicate.com/minimax/speech-02-hd) for the exact input schema.

client = replicate.Client()
model = client.models.get("minimax/speech-02-hd")

# Example input dictionary — replace keys with the model's actual inputs.
inputs = {
    "text": "Hello, this is an example of Minimax Speech 02 HD generating natural audio.",
    # "voice": "voice-id-or-name",            # optional: select a preset voice
    # "speaker_audio": open("speaker_sample.wav", "rb"),  # optional: short clip for cloning
    # "emotion": "neutral",                  # optional: emotion or style tag
    # "language": "en",                      # optional: language code
    # "format": "wav",                       # optional: output format
}

# Run prediction (this returns a URL or binary depending on model and client)
output = model.predict(**inputs)
print("Model output:", output)

# If the model returns a URL, download and save locally
# import requests
# r = requests.get(output["audio_url"])
# with open("output.wav", "wb") as f:
#     f.write(r.content)

Key Information

• Category: Audio Models
• Type: AI Audio Models Tool