Updated README.md to reflect the recent changes

README.md

@@ -7,7 +7,7 @@ by [KITT.AI](http://kitt.ai).
 [Full Documentation](https://snowboy.kitt.ai/docs)
 
 
-Version: 1.0.2 (5/24/2016)
+Version: 1.0.3 (6/4/2016)
 
 Snowboy is a customizable hotword detection engine for you to create your own
 hotword like "OK Google" or "Alexa". It is powered by deep neural networks and has the following properties:
@@ -26,12 +26,14 @@ Currently Snowboy supports:
 * all versions of Raspberry Pi (with Raspbian based on Debian Jessie 8.0)
 * 64bit Mac OS X
 * 64bit Ubuntu (12.04 and 14.04)
+* iOS
+* Android
 
-It ships in the form of a **C library** with **Python** wrappers generated by SWIG. We welcome wrappers for other languages -- feel free to send a pull request!
+It ships in the form of a **C library** with language-dependent wrappers generated by SWIG. We welcome wrappers for new languages -- feel free to send a pull request!
 
 If you want support on other hardware/OS, please send your request to [[email protected]](mailto:snowboy.kitt.ai)
 
-## Precompiled Binaries
+## Precompiled Binaries with Python Demo
 * 64 bit Ubuntu [12.04](https://s3-us-west-2.amazonaws.com/snowboy/snowboy-releases/ubuntu1204-x86_64-1.0.2.tar.bz2)
   / [14.04](https://s3-us-west-2.amazonaws.com/snowboy/snowboy-releases/ubuntu1404-x86_64-1.0.2.tar.bz2)
 * [MacOS X](https://s3-us-west-2.amazonaws.com/snowboy/snowboy-releases/osx-x86_64-1.0.2.tar.bz2)
@@ -84,7 +86,47 @@ SWIG will generate a `_snowboydetect.so` file and a simple (but hard-to-read) py
 Feel free to adapt the `Makefile` in `swig/Python` to your own system's setting if you cannot `make` it.
 
 
-## Quick Start
+## Compile an iOS Wrapper
+
+Using Snowboy library in Objective-C does not really require a wrapper. It is basically the same as using C++ library in Objective-C. We have compiled a "fat" static library for iOS devices, see the library here `lib/ios/libsnowboy-detect.a`.
+
+To initialize Snowboy detector in Objective-C:
+
+    snowboy::SnowboyDetect* snowboyDetector = new snowboy::SnowboyDetect(
+        std::string([[[NSBundle mainBundle]pathForResource:@"common" ofType:@"res"] UTF8String]),
+        std::string([[[NSBundle mainBundle]pathForResource:@"snowboy" ofType:@"umdl"] UTF8String]));
+    snowboyDetector->SetSensitivity("0.45");        // Sensitivity for each hotword
+    snowboyDetector->SetAudioGain(2.0);             // Audio gain for detection
+
+To run hotword detection in Objective-C:
+
+    int result = snowboyDetector->RunDetection(buffer[0], bufferSize);  // buffer[0] is a float array
+
+You may want to play with the frequency of the calls to `RunDetection()`, which controls the CPU usage and the detection latency.
+
+## Compile an Android Wrapper
+
+    cd swig/Android
+    # Make sure you set up the NDKROOT variable in Makefile before you run.
+    make
+
+Using Snowboy library on Android devices is a little bit tricky. We have compiled Snowboy using Android's cross-compilation toolchain for ARMV7 architecture, see the library here `lib/android/armv7a/libsnowboy-detect.a`. We then use SWIG to generate the Java wrapper, and use Android's cross-compilation toolchain to generate the corresponding JNI libraries. After running `make`, two directories will be created: `java` and `jniLibs`. Copy these two directories to your Android app directory (e.g., `app/src/main/`) and you should be able to call Snowboy funcitons within Java.
+
+To initialize Snowboy detector in Java:
+
+    # Assume you put the model related files under /sdcard/snowboy/
+    SnowboyDetect snowboyDetector = new SnowboyDetect("/sdcard/snowboy/common.res",
+                                                      "/sdcard/snowboy/snowboy.umdl");
+    snowboyDetector.SetSensitivity("0.45");         // Sensitivity for each hotword
+    snowboyDetector.SetAudioGain(2.0);              // Audio gain for detection
+
+To run hotword detection in Java:
+
+    int result = snowboyDetector.RunDetection(buffer, buffer.length);   // buffer is a short array.
+
+You may want to play with the frequency of the calls to `RunDetection()`, which controls the CPU usage and the detection latency.
+
+## Quick Start for Python Demo
 
 Go to the `examples/Python` folder and open your python console:
 
@@ -120,6 +162,12 @@ See [Full Documentation](https://snowboy.kitt.ai/docs).
 
 ## Change Log
 
+**v1.0.3, 6/4/2016**
+
+* Updated universal `snowboy.umdl` model to make it more robust in non-speech environment.
+* Fixed bug when using float as input data.
+* Added library support for Android ARMV7 architecture.
+
 **v1.0.2, 5/24/2016**
 
 * Updated universal `snowboy.umdl` model

swig/Android/Makefile

@@ -9,7 +9,7 @@
 SWIG := swig
 
 # Please specify your NDK root directory here.
-NDKROOT := /Users/guoguo/Tools/android-ndk-r11c/
+NDKROOT :=
 APILEVEL := 17
 
 SNOWBOYDETECTSWIGITF = snowboy-detect-swig.i