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What is MiniMax Audio?
MiniMax Audio is an advanced audio generation platform driven by artificial intelligence, capable of transforming text into realistic speech across more than 50 languages while offering over 300 unique voices that reflect an array of regional accents, including American, Cantonese, Dutch, German, Czech, and Japanese. The platform significantly enhances user interaction with features such as emotion modulation, adjustable speed and pitch, and noise reduction to produce clearer audio results. Users can easily generate lifelike audio samples through various methods, including long-text input, URL processing, or voice cloning, with the ability to achieve a distinctive voice in just 10 seconds, eliminating the need for prior transcription. Its cutting-edge technology employs state-of-the-art AI methodologies, such as transformer-based TTS models and a trainable speaker encoder, alongside Flow-VAE architectures, enabling high-quality zero- or one-shot voice cloning with exceptional expressiveness and accuracy, which positions it among the top performers in public voice cloning benchmarks. MiniMax Audio not only excels in its adaptability but also demonstrates a strong commitment to delivering a smooth user experience, establishing itself as a preferred solution for diverse audio generation requirements. With its innovative features and user-friendly interface, MiniMax Audio continues to redefine the landscape of audio synthesis with remarkable efficiency and effectiveness.
What is AudioLM?
AudioLM represents a groundbreaking advancement in audio language modeling, focusing on the generation of high-fidelity, coherent speech and piano music without relying on text or symbolic representations. It arranges audio data hierarchically using two unique types of discrete tokens: semantic tokens, produced by a self-supervised model that captures phonetic and melodic elements alongside broader contextual information, and acoustic tokens, sourced from a neural codec that preserves speaker traits and detailed waveform characteristics. The architecture of this model features a sequence of three Transformer stages, starting with the semantic token prediction to form the structural foundation, proceeding to the generation of coarse tokens, and finishing with the fine acoustic tokens that facilitate intricate audio synthesis. As a result, AudioLM can effectively create seamless audio continuations from merely a few seconds of input, maintaining the integrity of voice identity and prosody in speech as well as the melody, harmony, and rhythm in musical compositions. Notably, human evaluations have shown that the audio outputs are often indistinguishable from genuine recordings, highlighting the remarkable authenticity and dependability of this technology. This innovation in audio generation not only showcases enhanced capabilities but also opens up a myriad of possibilities for future uses in various sectors like entertainment, telecommunications, and beyond, where the necessity for realistic sound reproduction continues to grow. The implications of such advancements could significantly reshape how we interact with and experience audio content in our daily lives.
Integrations Supported
Opal
API Availability
Has API
API Availability
Has API
Pricing Information
Free
Free Trial Offered?
Free Version
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
MiniMax Audio
Date Founded
2021
Company Location
Singapore
Company Website
www.minimax.io/audio
Company Facts
Organization Name
Company Location
United States
Company Website
research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/