Minnetonka Audio released its AudioTools CLOUD On-Demand version 1.0, which is available on Amazon Web Services (AWS).
The MinnetonkaAudio AudioTools CLOUD On-Demand is an advanced audio processing solution for audio, video, and broadcast that provides loudness control, encoding, decoding, channel management, frame rate conversion, quality control, and container management from an easy-to-use user interface. The solution is designed specifically for Amazon Web Services (AWS).
Workflow control, processing modules, and reporting are all live within the Amazon EC2, as well as Amazon S3 cloud storage, requiring no on-premises hardware costs or ongoing maintenance. Businesses can expand to handle peak processing requirements by configuring additional Amazon EC2 instances, and take them offline when not required, saving money during downtime.
From the occasional job, to expanding throughput for higher volume workloads, AudioTools CLOUD On-Demand is an online web-service that brings proven processing to the cloud, allowing on-demand, case-by-case use (OPEX) versus larger CAPEX sized projects. Utilizing the scalable computing resources of Amazon EC2 processing and Amazon S3 object storage, businesses only pay for the infrastructure they need, when they need it.
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Digital audio interfaces were developed as a way of avoiding generation loss between devices.
The recursive filter has the advantage of using less hardware, but is more complex to understand.
Once the basic requirements for reproducing sound were in place, the most significant next step was to reproduce to some extent the spatial attributes of sound. Stereophony, using two channels, was the first successful system.
Having looked at how microphones are supposed to work, here we see that what happens in practice isn’t quite the same because the ideal and the actual are somewhat different.
There are two approaches to digital filtering. One is to implement the impulse response directly. The other is to use recursion. Here we look at the direct implementation.