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What is NVIDIA Riva Studio?

Leverage a browser with integrated prompts along with an audio recording tool to collect sound samples effectively. You can tap into a specially curated set of phonetically balanced sentences that are intended for creating a comprehensive 30-minute dataset, which is essential for training a text-to-speech (TTS) model that accurately reflects the unique qualities of your voice. Customize the model’s audio output by choosing a pitch range that best fits your vocal traits, with a typical voice pitch range setting pre-included, alongside an optimal recipe to refine the TTS model to embody your vocal identity. To enhance the model’s utility, develop an API that facilitates the smooth incorporation of your personalized TTS model into various software applications. Moreover, you will be able to download a deployable package that comes with a helm chart, making it easy to implement on any cloud service or within an on-premises Kubernetes environment. Afterward, you can conveniently host your voice microservice using NVIDIA technologies or deploy it with just a simple line of code, ensuring effortless operation. Furthermore, the Riva TTS model can be set up, tailored, and launched through intuitive no-code, end-to-end graphical workflows, which removes the complexities of infrastructure setup and makes the entire process user-friendly. This approach not only simplifies the deployment of TTS solutions but also enables users to produce high-quality audio outputs with minimal technical challenges, thereby democratizing access to advanced voice synthesis technology. By following these steps, you can significantly enhance the accessibility and adaptability of your TTS model across various platforms and applications.

What is MAI-Voice-2.1?

MAI-Voice-2.1 is an innovative text-to-speech tool offered by Microsoft, tailored for developers focused on creating voice-activated applications. This sophisticated model generates clear and expressive audio from text inputs, catering to a broad spectrum of 23 languages while also allowing for emotional and stylistic modulation. It guarantees uniformity in lengthy speech outputs and provides controlled access to approved voice references. Developers can easily integrate this solution through the Microsoft Foundry and the Azure Speech APIs and SDKs, making it ideal for diverse applications such as storytelling, audiobooks, voice assistant functionalities, and improving customer service experiences. Moreover, its adaptability opens the door to numerous possibilities in the realm of contemporary technology. As such, MAI-Voice-2.1 stands out as a vital resource for anyone looking to incorporate advanced voice synthesis into their projects.

Media

Media

No images available

Integrations Supported

Azure Marketplace
Kubernetes
NVIDIA TensorRT

Integrations Supported

Azure AI Speech

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided

Pricing Information

$22/1M characters
Usage-based at $22 per 1 million characters of generated speech.

Supported Platforms

SaaS

Supported Platforms

SaaS

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Not specified

Training Options

Documentation Hub
Webinars

Training Options

Not specified

Company Facts

Organization Name

NVIDIA

Date Founded

1993

Company Location

United States

Company Website

www.nvidia.com/en-us/gpu-cloud/riva-studio/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

microsoft.ai/models/mai-voice-2-1/

Categories and Features

Text to Speech

Not specified

Categories and Features

AI Voice Models

Not specified

Text to Speech

Not specified

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