| datasets: | |
| - aether-raid/SGdataset | |
| metrics: | |
| - wer | |
| base_model: | |
| - openai/whisper-large-v3-turbo | |
| pipeline_tag: automatic-speech-recognition | |
| Whisper Large V3 Turbo (WLV3t) trained on `sgatc` with | |
| - Frozen Encoders (FE) | |
| - Loud Normalization (LN) | |
| - The following Augmentations (TSHLBT): | |
| - T: time stretch | |
| - S: seven band parametric EQ | |
| - H: high pass | |
| - L: low pass | |
| - B: band pass | |
| - T: tanh distortion |