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What is dearVR MONITOR?

With dearVR MONITOR, headphones transform into a reference-grade mixing environment, allowing you to break free from the limitations of poor room acoustics and substandard speaker setups. This cutting-edge tool combines the precision of headphone listening—delivering remarkable clarity and spatial depth—with the authentic sensation of working in a meticulously calibrated studio. You can eliminate interruptions from outside noise and immerse yourself entirely in the creative process. Harness the advanced virtual acoustics technology from Dear Reality to enjoy a consistent personal acoustic reference. dearVR MONITOR offers the flexibility to quickly adjust the virtual mix room according to your specific needs by modifying the ambience and focus settings. You have the ability to control the diffusion levels, enhancing the vibrancy of your mixing environment, thus ensuring a tailored auditory experience. By leveraging this state-of-the-art technology, you can significantly enhance your mixing skills and push your creative boundaries further. Whether you're an aspiring musician or a seasoned producer, dearVR MONITOR promises to revolutionize the way you approach mixing, making it an essential tool in your audio production arsenal.

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.

Media

Media

Integrations Supported

Google Opal

Integrations Supported

Google Opal

API Availability

Has API

API Availability

Has API

Pricing Information

$249 one-time payment
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

Dear Reality

Date Founded

2014

Company Location

Germany

Company Website

www.dear-reality.com/products/dearvr-monitor

Company Facts

Organization Name

Google

Company Location

United States

Company Website

research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/

Categories and Features

Categories and Features

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