chinmayc3 commited on
Commit
504a587
·
1 Parent(s): aafbd13

Changes to about page

Browse files
Files changed (1) hide show
  1. pages/about.py +10 -2
pages/about.py CHANGED
@@ -12,6 +12,11 @@ st.markdown(
12
  """
13
  )
14
 
 
 
 
 
 
15
  st.markdown(
16
  """## Arena
17
  """
@@ -30,13 +35,16 @@ st.markdown(
30
  """ * The Scoreboard shows the performance of the models in the Arena. The user can see the overall performance of the models, the model with the highest win rate, and the model with the most appearances. The user can also see the win rates of each model, as well as the appearance distribution of each model."""
31
  )
32
 
33
- st.markdown("## Model Descriptions")
34
-
35
  st.markdown("""
36
  * Ori Prime - Foundational, large, and stable.
37
  * Ori Swift - Lighter and faster than Ori Prime.
38
  * Ori Apex - The top-performing model, fast and stable.
39
  * Ori Apex XT - Enhanced with more training, though slightly less stable than Ori Apex.
 
 
 
40
  * Deepgram - Deepgram Nova-2 API
41
  * Azure - Azure Speech Services API
42
  """)
 
12
  """
13
  )
14
 
15
+ st.markdown("""## Motivation""")
16
+
17
+ st.markdown("""
18
+ The Ori Speech-to-Text Arena was created to provide a transparent and unbiased evaluation platform for comparing various ASR models by pitting our proprietary models against industry-standard solutions in a blind testing environment. The Arena enables real-world performance assessment through diverse audio inputs and human evaluations, helping us understand how different models handle various accents, speech patterns, and acoustic conditions. This platform not only showcases the capabilities of our models but also provides valuable insights for ongoing development and optimization of our speech recognition technology.
19
+ """)
20
  st.markdown(
21
  """## Arena
22
  """
 
35
  """ * The Scoreboard shows the performance of the models in the Arena. The user can see the overall performance of the models, the model with the highest win rate, and the model with the most appearances. The user can also see the win rates of each model, as well as the appearance distribution of each model."""
36
  )
37
 
38
+ st.markdown("## Model Description")
39
+ st.markdown("""### Proprietary ASR models by Oriserve""")
40
  st.markdown("""
41
  * Ori Prime - Foundational, large, and stable.
42
  * Ori Swift - Lighter and faster than Ori Prime.
43
  * Ori Apex - The top-performing model, fast and stable.
44
  * Ori Apex XT - Enhanced with more training, though slightly less stable than Ori Apex.
45
+ """)
46
+ st.markdown("### Third-party ASR services")
47
+ st.markdown("""
48
  * Deepgram - Deepgram Nova-2 API
49
  * Azure - Azure Speech Services API
50
  """)