A Rust Flavored Introduction to Audio Quality Prediction | Daniel Strübig (Jabra)

Описание: Abstract:
"In audio programming, it is useful to know when and how much degradation you introduce in a processing chain, e.g. when applying data compression, band-limiting or reducing noise.

Audio quality predictors, a vibrant topic in research and academia, can help identify the severity of degradation during development phase. I will give a brief, beginner-friendly introduction to what audio quality predictors do and how you can leverage them in your work.

In the second part of this talk, I will give a light-weight introduction to Rust and what I have learned by porting an audio quality estimator to Rust. I will introduce some of the libraries I’ve used and give anecdotal tips on how I picked up a language while having a day job and an otherwise busy schedule."

Daniel's LinkedIn:
  / daniel-strubig  

——

0:00 Intro
7:57 Speech quality metrics
18:16 Demo
26:33 Some relevant definitions
28:56 Examples of metrics
30:50 What could you use predictors for?
32:37 How you should view these metrics
36:25 Break for questions
40:45 Talking about Rust
48:46 How Daniel learned Rust
57:24 Libraries for getting started
59:14 When learning a new language
1:03:24 End of presentation + questions
1:09:18 Outro

——

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