@ -59,6 +59,8 @@ Then `time-window` will combine audio frames into a list of ndarray, each of whi
At the end, the [towhee/torch-vggish](https://hub.towhee.io/towhee/torch-vggish)) operator will generate a list of audio embeddings for each audio clip.
# More Resources
- [Exploring Multimodal Embeddings with FiftyOne and Milvus - Zilliz blog](https://zilliz.com/blog/exploring-multimodal-embeddings-with-fiftyone-and-milvus): This post explored how multimodal embeddings work with Voxel51 and Milvus.
@ -70,4 +72,3 @@ that helps you encode your unstructured data into embeddings.
- [Vector Database Use Case: Audio Similarity Search - Zilliz](https://zilliz.com/vector-database-use-cases/audio-similarity-search): Building agile and reliable audio similarity search with Zilliz vector database (fully managed Milvus).
- [Making Machine Learning More Accessible for Developers - Zilliz blog](https://zilliz.com/learn/making-machine-learning-more-accessible-for-application-developers): Learn how Towhee, an open-source embedding pipeline, supercharges the app development that requires embeddings and other ML tasks.
- [An Introduction to Vector Embeddings: What They Are and How to Use Them - Zilliz blog](https://zilliz.com/learn/everything-you-should-know-about-vector-embeddings): In this blog post, we will understand the concept of vector embeddings and explore its applications, best practices, and tools for working with embeddings.
