V1.6 (#52)

Author: kenarsa

.gitmodules

@@ -4,15 +4,13 @@ Made in Vancouver, Canada by [Picovoice](https://picovoice.ai)
 
 Rhino is Picovoice's Speech-to-Intent engine. It directly infers intent from spoken commands within a given context of
 interest, in real-time. For example, given a spoken command *"Can I have a small double-shot espresso with a lot of sugar
- and some milk"*, Rhino infers that the user wants to order a drink with these specifications:
+ and some milk"*, Rhino infers that the user wants to order a drink and emits the following inference result:
 
 ```json
 {
   "type": "espresso",
   "size": "small",
-  "numberOfShots": "2",
-  "sugar": "a lot",
-  "milk": "some"
+  "numberOfShots": "2"
 }
 ```
 

README.md

@@ -2,7 +2,7 @@
 
   <PropertyGroup>
 	  <TargetFrameworks>netstandard2.0</TargetFrameworks>
-	  <Version>1.5.1</Version>
+	  <Version>1.6.0</Version>
 	  <Authors>Picovoice</Authors>
 	  <Company />
 	  <Product>Rhino Speech-to-Intent Engine</Product>
@@ -15,7 +15,7 @@
 	  <Copyright>Picovoice 2020</Copyright>
 	  <Description>Rhino is Picovoice's Speech-to-Intent engine. It directly infers intent from spoken commands within a given context of interest, in real-time. 
 
-For example, given a spoken command "Can I have a small double-shot espresso with a lot of sugar and some milk", Rhino infers that the user wants to order a drink with these specifications:  { "type": "espresso", "size": "small", "numberOfShots": "2", "sugar": "a lot", "milk": "some" }
+For example, given a spoken command "Can I have a small double-shot espresso?", Rhino infers that the user wants to order a drink with these specifications:  { "type": "espresso", "size": "small", "numberOfShots": "2" }
 
 Rhino is:
   - using deep neural networks trained in real-world environments.

binding/android/Rhino/rhino/src/main/jniLibs/arm64-v8a/libpv_rhino.so

@@ -72,15 +72,13 @@ public void TestWithinContext()
 
             Inference inference = r.GetInference();
             Assert.IsTrue(inference.IsUnderstood, "Couldn't understand.");
-            Assert.AreEqual("orderDrink", inference.Intent, "Incorrect intent.");
+            Assert.AreEqual("orderBeverage", inference.Intent, "Incorrect intent.");
 
             Dictionary<string, string> expectedSlotValues = new Dictionary<string, string>()
             {
                 {"size", "medium"},
                 {"numberOfShots", "double shot"},
-                {"coffeeDrink", "americano"},
-                {"milkAmount", "lots of milk"},
-                {"sugarAmount", "some sugar"},                
+                {"beverage", "americano"},
             };
             Assert.IsTrue(inference.Slots.All((keyValuePair) => 
                                           expectedSlotValues.ContainsKey(keyValuePair.Key) &&