SSEmb: Training a Generalizable Speech Retrieval Model Using Only Automatic Speech Recognition Data

End-to-end speech-to-text retrieval is becoming an important capability for voice agents, allowing spoken queries to retrieve relevant documents without intermediate transcription. Training these retrievers typically depends on large collections of spoken query-document pairs that are costly to acqu