This tutorial goes through how get content classification for audio files using
pretrained models on Google Cloud. We use the Speech-to-Text API to provide
transcription of public sample audio files stored in Google Cloud Storange.
Then use the content classification functionality of the Natural Language API
to provide a label for the unstructured text. NLP analysis can be used to
categorize content and provide categorization like
/Arts & Entertainment/Entertainment Industry/Film & TV Industry and /Arts & Entertainment/Humor/Live Comedy
cross many broad top-level areas such as Finance, Health,
/Hobbies & Leisure/ and several more. For the full list see the documentation
here.
This notebook is meant for educational use in the form of workshops, this is not meant for production use.
- Create a new Python 3 notebook in Vertex AI Workbench
- Import this notebook
- Enable the Speech-to-Text and Cloud Natural Language APIs
To do this on the command line:
gcloud services enable speech.googleapis.com
gcloud services enable language.googleapis.com