Update README.md

README.md

@@ -19,44 +19,29 @@ language:
 tags:
 - keras
 - tensorflow
-- image-classification
 libraries: TensorBoard
-widget:
-- example_title: English Sample
-  src: >-
-    https://huggingface.co/SpeechFlow/spoken_language_identification/blob/main/test_audios/english.wav
 pipeline_tag: audio-classification
-library_name: transformers
 ---
 
 # Spoken_language_identification
 
 ## Model description
 
-This is a spoken language recognition model trained on private dataset using Tensorflow.
+This is a spoken language recognition model trained on 2k hours of private dataset using Tensorflow. Approximately 150 hours of speech supervision per language.
 the model uses the CRNN-Attention architecture that has previously been used for extracting utterance-level feature representations.
-
 The system is trained with recordings sampled at 16kHz, single channel, and 16-bit Signed Integer PCM encoding.
 
-The model can classify a speech utterance according to the language spoken.
-It covers 13 different languages(
-chinese
-english
-french
-german
-indonesian
-italian
-japanese
-korean
-portuguese
-russian
-spanish
-turkish
-vietnamese
-)
+More details can be found here: [**GitHub**](https://github.com/SpeechFlow-io/Spoken_language_identification)
+
+The model can classify a speech utterance according to the language spoken. It covers 13 different languages.
 
-## Intended uses & Limitations
+| Molde Parameters  |    Supported Languages   |
+|----------|--------------------------|
+|   1 M       | chinese, english, french, german, indonesian, italian, japanese, korean, portuguese, russian, spanish, turkish, vietnamese|
 
+## Example
+[![ Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/16-Nre8aDvn0wN2dsgGa3xUsZ7S61e1h8#scrollTo=Is60zUMuPqSi)
+Please see the provided Colab for details for runing an example.
 #### How to use
 
 ```python