Audio Data Takes Center Stage
Our weekly selection of must-read Editors' Picks and original features- 20162Murphy ≡ DeepGuide
Mini Neural Nets for Guitar Effects with Microcontrollers
Less is more- 27859Murphy ≡ DeepGuide
Unlock the Power of Audio Data: Advanced Transcription and Diarization with Whisper, WhisperX, and&#
Streamline Audio Analysis with State-of-the-Art Speech Recognition and Speaker Attribution Technologies- 20528Murphy ≡ DeepGuide
New Frontiers in Audio Machine Learning
Our weekly selection of must-read Editors' Picks and original features- 27703Murphy ≡ DeepGuide
Tiny Audio Diffusion: Waveform Diffusion That Doesn't Require Cloud Computing
Exploring how to train models and generate sounds with audio waveform diffusion on a consumer laptop and GPU with less than 2GB VRAM- 29278Murphy ≡ DeepGuide
Decoding the Symphony of Sound: Audio Signal Processing for Musical Engineering
The Ultimate Guide to Time and Frequency Domain Audio Feature Extraction using Python- 23628Murphy ≡ DeepGuide
Algorithmic Alchemy with The Fast Fourier Transform
The Ultimate Guide to Mechanics of the FFT Algorithm with Applications in Signal Processing Photo by Stephen Niemeier: https://www.pexels.com/photo/black-and-silver-mixing-board-63703/ Contents Introduction What is the Fourier Transform? 2.1 Time Domain 2- 25610Murphy ≡ DeepGuide
Audio Diffusion: Generative Music's Secret Sauce
Exploring the principles behind diffusion technology and how it is being used to create groundbreaking AI tools for artists and producers.- 22437Murphy ≡ DeepGuide
Key Indicators in Media & News
A look at key trends in the main sectors of the news media from Pew Research Center's State of the News Media 2014.- 28469Murphy ≡ Articles
5 key takeaways from State of the News Media 2015
Our annual report surveys the landscape of U.S. journalism, from the changes driven by mobile devices to the ups and downs of legacy news organizations.- 27270Murphy ≡ Articles
Younger adults more likely than their elders to prefer reading news
When asked whether one prefers to read, watch or listen to their news, younger adults are far more likely than older adults to opt for text – and most of that reading is occurring on the web.- 28866Murphy ≡ Articles
Nearly a quarter of Americans get news from podcasts
The share of Americans who say they often get news from a podcast is quite small, at just 7%; 16% of adults say they sometimes do.- 26651Murphy ≡ Articles
Podcasts as a Source of News and Information
Roughly half of U.S. adults say they have listened to a podcast in the past year, including one-in-five who report listening at least a few times a week. Most podcast listeners say this experience includes hearing news, which they largely expect to be mos- 27355Murphy ≡ Articles
Black U.S. podcast listeners choose distinct topics, have different reasons for listening than other
At least half of Black podcast listeners regularly listen to podcasts about entertainment and pop culture; self-help and relationships; comedy; and money and finance.- 23444Murphy ≡ Articles
A Profile of the Top-Ranked Podcasts in the U.S.
True crime is the most common topic, making up 24% of top-ranked podcasts; 15% of the top podcasts focus on news. The next most common topics are politics and government (10%); entertainment, pop culture and the arts (9%); and self-help and relationships- 22899Murphy ≡ Articles
True crime podcasts are popular in the U.S., particularly among women and those with less formal edu
True crime stands out as the most common topic of top-ranked podcasts in the United States.- 28631Murphy ≡ Articles
Q&A: How we used large language models to identify guests on popular podcasts
We asked researchers how they used the newest generation of large language models to analyze roughly 24,000 podcast episodes.- 22934Murphy ≡ Articles
We look at an implementation of the HyperLogLog cardinality estimati
Using clustering algorithms such as K-means is one of the most popul
Level up Your Data Game by Mastering These 4 Skills
Learn how to create an object-oriented approach to compare and evalu
When I was a beginner using Kubernetes, my main concern was getting
Tutorial and theory on how to carry out forecasts with moving averag