Resemblyzer provides a voice encoder deep learning model that produces compact embedding vectors from audio files, enabling tasks like speaker diarization, speaker verification, and fake speech detection. The embeddings summarize vocal characteristics and can be compared for similarity or clustered for identification. The package includes demos for speaker recognition with limited reference audio and modest fake speech detection.