Update README.md

README.md

@@ -92,7 +92,7 @@ configs:
 
 # LHCP-ASR
 
-This dataset is another version of the [LHCP-ASR](https://www.mllp.upv.es/lhcp-asr) corpus, an English speech dataset for narrow-domain ASR benchmarking in high-energy physics. Unlike the original distribution, which includes video, slides and text data, this version focuses entirely on audio-text pairs
+This dataset is another version of the [LHCP-ASR](https://github.com/mllpresearch/LHCP-ASR) corpus, an English speech dataset for narrow-domain ASR benchmarking in high-energy physics. Unlike the original distribution, which includes video, slides and text data, this version focuses entirely on audio-text pairs
 
 DESCRIPTION
 -----------
@@ -126,6 +126,19 @@ Both configurations (`longform` and `segments`) include the following splits:
 - `test_2020`
 - `test_2022`
 
+RESULTS
+-------
+We report here, for the development and test sets, the **longform** WER% of some Whisper models using normalised references (lowercased, no punctuation). The base models WER% are from the [original paper](https://www.isca-archive.org/interspeech_2025/santamariajorda25_interspeech.html) and the fine-tuned models WER% can be checked in this [final degree project](https://riunet.upv.es/entities/publication/914a3a30-6a42-404c-8fa8-805b70f1317c).
+
+
+| Model | 2020 dev | 2020 test | 2022 dev | 2022 test |
+|---|---|---|---|---|
+| **whisper medium** | 13.2 | 15.9 | 17.3 | 17.7 |
+| **whisper turbo** | 13.8 | 15.4 | 16.7 | 16.7 |
+| **whisper medium FT** | 12.1 | 13.2 | 14.4 | 14.7 |
+| **whisper turbo FT** | **12.0** | **12.9** | **14.3** | **14.5** |
+
+
 CITATION
 --------
 
@@ -143,7 +156,7 @@ If you use this dataset, please cite the original work:
 }
 ```
 
-For more details on the original dataset, visit [www.mllp.upv.es/lhcp-asr](https://www.mllp.upv.es/lhcp-asr).
+For more details on the original dataset, visit [https://github.com/mllpresearch/LHCP-ASR](https://github.com/mllpresearch/LHCP-ASR).
 
 LEGAL DISCLAIMER
 ---------------