Update README.md

README.md

@@ -46,4 +46,21 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+license: agpl-3.0
+language:
+- en
+tags:
+- speech
+- ipa
+pretty_name: sac
+size_categories:
+- 1K<n<10K
 ---
+
+2138 English speakers from a variety of language backgrounds saying the sentence 
+
+"Please call Stella.  Ask her to bring these things with her from the store:  Six spoons of fresh snow peas, five thick slabs of blue cheese, and maybe a snack for her brother Bob.  We also need a small plastic snake and a big toy frog for the kids.  She can scoop these things into three red bags, and we will go meet her Wednesday at the train station." 
+
+We focus on three words -- "snack", "snake", "bags" -- which are notoriously tricky for humans to identify out-of-context.
+We use an automated script to transcribe them both in-context and clipped with no-context using the Facebook 60 phoneme transcription model.
+For cases of mispronunciation, the results show that in-context, the transformer layers of the Wav2Vec2 model act as a language model to hallucinate the more "standard" g2p transcription of the words whereas out-of-context, the model predicts a transcription closer to what the speaker actually said.