Update README.md

README.md

@@ -14,14 +14,16 @@ pipeline_tag: automatic-speech-recognition
 
 # wav2vec2-xlsr-53-ft-cy-en-withlm
 
-This model is a version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53)
-that has been fined-tuned with a custom bilingual datasets derived from the Welsh 
-and English data releases of Mozilla Foundation's Commonvoice project. See : [techiaith/commonvoice_16_1_en_cy](https://huggingface.co/datasets/techiaith/commonvoice_16_1_en_cy).
-
-In addition, this model also includes a single KenLM n-gram model trained with balanced 
-collections of Welsh and English texts from [OSCAR](https://huggingface.co/datasets/oscar) 
-This avoids the need for any language detection for determining whether to use a Welsh or English n-gram models during CTC decoding. 
-
+An acoustic encoder model for Welsh and English speech recognition accompanied with a n-gram language model. 
+The acoustic model is fine-tuned from 
+[facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) using transcribed
+spontaneous speech from 
+[techiaith/banc-trawsgrifiadau-bangor (v24.01)](https://huggingface.co/datasets/techiaith/banc-trawsgrifiadau-bangor/tree/24.01) and 
+Welsh and English speech data derived from version 16.1 the Common Voice datasets [techiaith/commonvoice_16_1_en_cy](https://huggingface.co/datasets/techiaith/commonvoice_16_1_en_cy)
+
+The accompanying language model is a single KenLM n-gram model trained with a balanced 
+collection of Welsh and English texts from [OSCAR](https://huggingface.co/datasets/oscar), thus avoiding language specific models 
+and language detection during CTC decoding. 
 
 ## Usage