Google Audio Dataset
Dataset Overview
Add to Bookmark| Data Type | Multivariate | Default Task | Relational-Learning |
|---|---|---|---|
| Attribute Type | Real | Published Year | 2017 |
| Area of Dataset | Human Sound | Missing Values | No |
| No. of Instances | 2084320 | No. of Attribute | 527 |
Dataset Description:
AudioSet consists of an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTube videos. The ontology is specified as a hierarchical graph of event categories, covering a wide range of human and animal sounds, musical instruments and genres, and common everyday environmental sounds.AudioSet consists of an expanding ontology of 632 audio event classes and a collection of 2,084,320 human-labeled 10-second sound clips drawn from YouTube videos. The ontology is specified as a hierarchical graph of event categories, covering a wide range of human and animal sounds, musical instruments and genres, and common everyday environmental sounds.
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
Random Blogs
- Convert RBG Image to Gray Scale Image Using CV2
- Ideas for Content of Every niche on Reader’s Demand during COVID-19
- Understanding AI, ML, Data Science, and More: A Beginner's Guide to Choosing Your Career Path
- String Operations in Python
- AI Agents & Autonomous Systems – The Future of Self-Driven Intelligence
- Exploratory Data Analysis On Iris Dataset
- SQL vs MySQL: The Ultimate Guide for Beginners
- 15 Amazing Keyword Research Tools You Should Explore
- Data Analytics: The Power of Data-Driven Decision Making
- AI in Marketing & Advertising: The Future of AI-Driven Strategies
