HySonLab/EntityKG
wav2graph: A Framework for Supervised Learning Knowledge Graph from Speech
This project helps researchers and developers working with speech data to automatically build structured knowledge graphs. It takes raw audio recordings as input and processes them to identify entities and their relationships, outputting a knowledge graph. This is useful for computational linguists, AI researchers, and data scientists developing natural language understanding systems from spoken language.
No commits in the last 6 months.
Use this if you are a researcher or developer focused on extracting structured information from spoken language and need a method to convert speech directly into a knowledge graph.
Not ideal if you are looking for a general-purpose speech-to-text transcription tool or a pre-trained knowledge graph for common entities without building one from custom speech data.
Stars
9
Forks
1
Language
Python
License
MIT
Category
Last pushed
Aug 09, 2024
Commits (30d)
0
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