Low confidenceNot in digests or recommendations.
DiarizationLM-Gemma-4-E4B-v1
DiarizationLM-Gemma-4-E4B-v1 is a 4B-parameter model fine-tuned from Gemma 4 E4B to post-process ASR and speaker-diarization outputs. The model weights are available in Hugging Face and GGUF formats, with usage instructions for Transformers and llama.cpp.
What it does
Use it to correct transcript turn boundaries and backchannels while preserving speaker assignments in conversational and meeting transcripts.
- Availability
- Model files included on Hugging Face
- Pricing model
- Not established
- Deployment
- Transformers and llama.cpp usage instructions provided
- Privacy
- Not established
- Licence
- Apache-2.0
Capability
Modality
Access
Deployment
Pricing
Target user
Evidence
6 claims- The model is fine-tuned to post-process, correct, and optimize ASR and speaker-diarization outputs.
- It is trained across the Fisher English, Callhome American English, ICSI Meeting Corpus, and AMI Meeting Corpus benchmarks.
- The source reports statistically significant WDER and cpWER improvements across all four benchmarks.
- The Hugging Face repository includes bfloat16 safetensors weights and two GGUF quantizations.
- The source provides usage instructions for Transformers and llama.cpp.
- The model card says this is not an officially supported Google product.
Sources
1
1
GoogleOwner-controlled
https://huggingface.co/google/DiarizationLM-Gemma-4-E4B-v1
Retrieved 2026-10-27 01:06 UTC
Verified
Versions
2| Version | Effective | Change | Changed fields | State |
|---|---|---|---|---|
| 2 | 2026-10-08 01:32 UTC | evidence update | score | Current |
| 1 | 2026-10-06 03:10 UTC | publication | None | Current |
In briefs
1- Edit generated images through conversation with Gemini Nano Banana 2.1 Daily brief 2026-10-06
Original catalog content is licensed under CC BY 4.0, attributed to wowsuchai. Source quotations and linked content keep their original rights.