article thumbnail

Detecting Speech and Music in Audio Content

The Netflix TechBlog

To evaluate and benchmark our dataset, we manually labeled 20 audio tracks from various TV shows which do not overlap with our training data. Results We evaluated our models on four open datasets comprising audio data from TV programs, YouTube clips and various content such as concert, radio broadcasts, and low-fidelity folk music.

article thumbnail

Why engaged teams are not always the best performers?

Abhishek Tiwari

coaching by the engineering manager, development programs, interest groups). Motivation represents a positive energy, at the other end of the spectrum is we have burnout. Vigor is characterised by high levels of energy and mental resilience while working. They set a higher benchmark for themselves.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I was mostly coding in C, tuning FORTRAN, and when I needed to do a lot of data analysis of benchmark results used the S-PLUS statistics language, that is the predecessor to R.

Tuning 52
article thumbnail

Progress Delayed Is Progress Denied

Alex Russell

As an engineer on a browser team, I'm privy to the blow-by-blow of various performance projects, benchmark fire drills, and the ways performance marketing (deeply) impacts engineering priorities. With each team, benchmarks lost are understood as bugs. Provides support for "unread counts", e.g. for email and chat programs.

Media 145
article thumbnail

Data Mining Problems in Retail

Highly Scalable

Customer retention programs can require the identification of customers who are likely to stop the relationship with a retailer but can change their minds under the influence of incentives. This metric reveals customers with high revenue potential, hence it can be used in loyalty programs and usage expansion campaigns.

Retail 152