Audio classification - ML on Web with MediaPipe: Episode 7

Опубликовано 24 апреля 2024, 13:14

Join Jen Person, a Senior Developer Advocate at Google, to discover how MediaPipe's Audio Classifier task can accurately categorize audio clips into predefined categories. Like music genres, environmental sounds, or spoken words.

Key takeaways:
- Understand the basics of audio classification: Learn how machine learning is used to analyze audio data and identify patterns.
- Explore the MediaPipe Audio Classifier task: Discover how this tool can be used to train and deploy custom audio classification models.
- Classify audio in real-time: Learn how to use the Audio Classifier task to classify audio files and livestreams in your web browser.

Whether you're building a music recommendation system, a sound detection app, or simply want to add interactive audio features to your website, this tutorial will provide you with the basics you need to get started.

View available audio classification models → goo.gle/4aC4BRn
Learn more about AudioSet → goo.gle/47halNN
See all AudioSet classification labels → goo.gle/3TJdpir
Try out audio classification options in MediaPipe Studio → goo.gle/4axviGV
Learn more about WebAssembly → goo.gle/3tdEa3n
View the complete audio classification code demo → goo.gle/3RBPAGz
MediaPipe Solutions → goo.gle/MediaPipe_Solutions

Watch more Getting Started with MediaPipe for Web → goo.gle/MediaPipeforWeb
Subscribe to Google for Developers → goo.gle/developers

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Products Mentioned: MediaPipe