article thumbnail

Audio Analysis With Machine Learning: Building AI-Fueled Sound Detection App

Altexsoft

Today, we have AI and machine learning to extract insights, inaudible to human beings, from speech, voices, snoring, music, industrial and traffic noise, and other types of acoustic signals. At the same time, keep in mind that neither of those and other audio files can be fed directly to machine learning models.

article thumbnail

11 most in-demand gen AI jobs companies are hiring for

CIO

Machine learning engineer Machine learning engineers are tasked with transforming business needs into clearly scoped machine learning projects, along with guiding the design and implementation of machine learning solutions.

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

Generative AI won’t automate your way to business model innovation

CIO

A common but critical challenge I hear from CIOs, CTOs, and CDOs every day is that they have a difficult time helping the C-suite understand that IT is the very architecture for the future of business, not a cost center. How do you convince decision-makers to collaborate on linking IT strategy with business strategy?

article thumbnail

Netflix Studio Engineering Overview

Netflix Tech

link] Netflix produces some of the world’s most beloved and award-winning films and series, including The Irishman, The Crown, La Casa de Papel, Ozark, and Tiger King. Here are some related articles to Studio Engineering: Studio Technologies Ready for changes with Hexagonal Architecture GraphQL Search Indexing Netflix Studio Hack Day?—?May

article thumbnail

Detecting Speech and Music in Audio Content

Netflix Tech

In this blog post, we will introduce speech and music detection as an enabling technology for a variety of audio applications in Film & TV, as well as introduce our speech and music activity detection (SMAD) system which we recently published as a journal article in EURASIP Journal on Audio, Speech, and Music Processing.

Journal 89
article thumbnail

Testing the Robustness of LSTM-Based Sentiment Analysis Models

John Snow Labs

With the proliferation of user-generated content, leveraging the power of sentiment analysis on this dataset allows for a comprehensive understanding of viewers’ perspectives and provides valuable insights for film producers, directors, and distributors to comprehend audience preferences, improve storytelling techniques, and make informed decisions.

article thumbnail

AI in Media: Redefining Customer Experience with Immersive Stories

Trigent

AI plays an important role in enhancing the user experience across all the six segments of the Media and Entertainment (M&E) industry: Films & TV, social media, journalism, gaming, music, and sports. Customization to optimization – the role of AI in media & entertainment sector.

Media 105