(For instance, this link indicates a Wikipedia ID related to TechCrunch.)īecause of this approach, it says people searching for these topics in any language will get accurate results. It’s using its NLP base model architecture, Umberto, to tag keywords such as places, people and topics with Wikipedia IDs - alphanumeric IDs that are linked to topics on Wikipedia. Musixmatch’s podcast platform automatically generates transcription every day for some of the top podcast episodes across different topics and charts. So it’s using its experience in training AI models through lyrics and leveraging its NLP (natural language processing) expertise to improve podcast transcription, search, discovery and sharing. As a result, it suggests a lot of great podcasts don’t get connected to potential fans. While there are millions of podcast shows and episodes available for listeners, Musixmatch argues that podcast search is broken.

Now it’s launching a new platform for podcasts that combines AI-generated transcription and community-verified editing.

Italy-based company Musixmatch is well known for providing community-powered lyrics to major music streaming platforms including Spotify, Apple Music, YouTube Music, Amazon Music and Tidal.

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