Update README.md

README.md

@@ -17,16 +17,17 @@ The model implements transfer learning feature extraction using [Yamnet](https:/
 Yamnet is an audio event classifier trained on the AudioSet dataset to predict audio events from the AudioSet ontology. It is available on TensorFlow Hub.
 Yamnet accepts a 1-D tensor of audio samples with a sample rate of 16 kHz.   
 As output, the model returns a 3-tuple:   
-- scores of shape (N, 521) representing the scores of the 521 classes
-- embeddings of shape (N, 1024)
-- log_mel spectrogram representing the log-mel spectrogram of the entire audio frame
+- Scores of shape `(N, 521)` representing the scores of the 521 classes.
+- Embeddings of shape `(N, 1024)`.
+- The log-mel spectrogram of the entire audio frame.
+
 We will use the embeddings, which are the features extracted from the audio samples, as the input to our dense model. 
 
 ## Dense Model
 The dense model that we used consists of:
-- An input layer which is embedding output of the Yamnet model
-- 4 Dense hidden layers and 4 Dropout layers
-- An output dense layer
+- An input layer which is embedding output of the Yamnet classifier.
+- 4 dense hidden layers and 4 dropout layers
+- An output dense layer.
 
 <details>
 <summary>View Model Plot</summary>
@@ -36,20 +37,17 @@ The dense model that we used consists of:
 </details>
 
 ## Dataset
-The dataset used is the **[Open-source Multi-speaker Corpora of the English Accents in the British Isles](https://openslr.org/83/)** which consists of a total of **17,877 audio files**.
-
-### Dataset Info
-@inproceedings{demirsahin-etal-2020-open,  
-title = {{Open-source Multi-speaker Corpora of the English Accents in the British Isles}},  
-author = {Demirsahin, Isin and Kjartansson, Oddur and Gutkin, Alexander and Rivera, Clara},  
-booktitle = {Proceedings of The 12th Language Resources and Evaluation Conference (LREC)},  
-month = may,  
-year = {2020},  
-pages = {6532--6541},  
-address = {Marseille, France},  
-publisher = {European Language Resources Association (ELRA)},  
-url = {https://www.aclweb.org/anthology/2020.lrec-1.804},\n\ ISBN = {979-10-95546-34-4},  
-}
+
+The dataset used is the
+[Crowdsourced high-quality UK and Ireland English Dialect speech data set](https://openslr.org/83/)
+which consists of a total of 17,877 high-quality audio wav files.
+
+This dataset includes over 31 hours of recording from 120 vounteers who self-identify as
+native speakers of Southern England, Midlands, Northern England, Wales, Scotland and Ireland.
+
+For more info, please refer to the above link or to the following paper:
+[Open-source Multi-speaker Corpora of the English Accents in the British Isles](https://aclanthology.org/2020.lrec-1.804.pdf)
+
 
 # Demo
 A demo is available in HuggingFace Spaces ...