Update README.md

README.md

@@ -12,6 +12,8 @@ Each audio clip ranges from one second to two minutes. We did not collect demogr
 
 In our original work, we directly transcribed the speech with Whisper Medium. However, since the audio clips are accented speech, these transcripts have instances of ASR error. We have **manually verified** the original transcripts to ensure they are high-quality.
 
+Thanks to my mentee, Brittney Lilly, for doing the crux of the ASR transcript verification work!
+
 ## Dataset Columns
 * **audio_url**: The URL to the audio clips; you can download them using wget or urllib to your local machines (see the code snippet below).
 * **emotion_label**: We manually labeled a subset of the clips as **Neutral** (neutral emotions), **Negative** (the speaker is displaying negative emotions), or **Pauses** (there are a lot of pauses in the speech, potentially signaling language anxiety). The process is documented in [EDEN's prior work](https://arxiv.org/abs/2404.13764). When this field is empty, it means that the clip was not labeled.