Neo_EP
Fine-tuned version of inesc-id/WhisperLv3-FT for European Portuguese automatic speech recognition, developed by Neoscopio.
- Architecture: Transformer encoder-decoder (1550M parameters)
- Base model:
inesc-id/WhisperLv3-FT(fromopenai/whisper-large-v3) - Language: European Portuguese (
pt) - Task: Transcription
- Compute type: float16
Note: A paper with full training methodology, evaluation results, and benchmarks is currently under preparation and will be published soon.
Current results:
| # | Modelo | WER (%) | CER (%) | RTF | Tempo (s) | eurospeech | falabracarense | MLS |
|---|---|---|---|---|---|---|---|---|
| 1 | Neo_EP | 13.67% | 10.16% | 0.000 | 1208.3s | 28.1% | 7.1% | 5.8% |
| 2 | EP-X(Faster-Whisper) | 18.93% | 14.56% | 0.000 | 1259.1s | 42.5% | 7.6% | 6.6% |
| 3 | whisper-large-v3 | 26.99% | 19.57% | 0.000 | 1202.9s | 41.8% | 33.9% | 5.2% |
| 4 | Nvidia-Canary-1b-v2 | 32.07% | 22.06% | 0.000 | 2296.4s | 45.6% | 43.5% | 7.1% |
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Model tree for Neoscopio-SA/Neo_EP
Base model
openai/whisper-large-v3