Google has released DiarizationLM-Gemma-4-E4B-v1, an open-source model licensed under Apache 2.0. This 4-billion parameter model is designed to correct Automatic Speech Recognition (ASR) and speaker diarization outputs using a novel locality-preserving supervision method. Quantized versions, such as GGUF (Q4_K_M), are available for local inference through llama.cpp. AI
IMPACT Enables local inference for speech diarization and ASR correction tasks.
RANK_REASON Release of an open-source model with specific technical capabilities. [lever_c_demoted from research: ic=1 ai=1.0]
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