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CDLI Non-standard speech datasets
Speech datasets of speakers with non-standard speech (different severity levels and types of speech impairment).
3
Favorite Models
My currently most used, kept directly on SSD. These are all fully uncensored (no refusals) unless noted otherwise.
4
Qwen3 Voice Embedding
Standalone ECAPA-TDNN x-vector speaker encoders extracted from Qwen3-TTS. 1024-dim (0.6B) and 2048-dim (1.7B).
29
MedGemma-1.5
MedGemma-1.5 models in MLX format. See original repo: https://huggingface.co/google/medgemma-1.5-4b-it
2
CDLI Non-standard speech datasets
Speech datasets of speakers with non-standard speech (different severity levels and types of speech impairment).
3
Favorite Models
My currently most used, kept directly on SSD. These are all fully uncensored (no refusals) unless noted otherwise.
4
Qwen3 Voice Embedding
Standalone ECAPA-TDNN x-vector speaker encoders extracted from Qwen3-TTS. 1024-dim (0.6B) and 2048-dim (1.7B).
29
MedGemma-1.5
MedGemma-1.5 models in MLX format. See original repo: https://huggingface.co/google/medgemma-1.5-4b-it
2