Lossless data compression of digital audio signals is useful when it is necessary to minimize the storage space or transmission bandwidth of audio data while still maintaining archival quality.

[In our Three-Minute Tech series, we tell you everything you really need to know about a technology in three minutes or less.] The day may come when increased storage capacities and unfettered ...

Data Compression is one of the most important components of this world, driven by petabytes of data daily. We, as humans, are generating data every second. From walking to running, eating to drinking, ...

Why do some tracks grab your attention while others don’t? Well, it’s all about perfecting the right production tools. The secret often lies in mastering the art of compression! It’s one of the most ...

Lossy compression schemes can be based on a source model, as in the case of speech compression, or a user or sink model, as is somewhat the case in image compression. In this chapter we look at audio ...

In a previous article, we discussed analog audio SNR concepts. As mentioned, the dynamic range is restricted at the top by clipping (THD ≤1 percent) and at the bottom by the thermal noise combined ...

Google today detailed SoundStream, an end-to-end “neural” audio codec that can provide higher-quality audio while encoding different sound types, including clean speech, noisy and reverberant speech, ...

The research team of Meta AI by Gabriel Sinaave and others has announced a study that AI can be used for ' compression ' of voice on the Internet to achieve further compression than conventional ...

Last week, Meta announced an AI-powered audio compression method called “EnCodec” that can reportedly compress audio 10 times smaller than the MP3 format at 64kbps with no loss in quality. Meta says ...