Merge pull request #39 from nyumaya/experimental_mac_support

Experimental mac support

.github/workflows/test-multi-platform.yml

@@ -0,0 +1,29 @@
+name: Test basic functionality on multiple platforms
+
+on:
+  push:
+    branches: ['master', 'V3.1']
+
+jobs:
+  build:
+    runs-on: ${{ matrix.os }}
+
+    strategy:
+      matrix:
+        os: [ubuntu-latest, macos-13]
+        node-version: [12.x]
+
+    steps:
+    - uses: actions/checkout@v3
+
+    - name: Install_Deps
+      run: |
+        if [ "${{ matrix.os }}" == "macos-13" ]; then
+          brew install portaudio
+          pip install pydub
+          pip install pyaudio
+        else
+          pip install pydub
+        fi
+    - name: Test
+      run: cd python/test ; python3 verify_marvin.py

python/src/auto_platform.py

@@ -16,7 +16,7 @@
 if system == "Darwin":
 	from cross_record import AudiostreamSource
 	play_command ="play -q"
-	default_libpath = '../lib/mac/libnyumaya.dylib'
+	default_libpath = '../../lib/mac/x86_64/libnyumaya_premium.3.1.0.dylib'
 
 elif system == "Linux":
 	from record import AudiostreamSource

python/test/verify_marvin.py

@@ -0,0 +1,75 @@
+import time
+import os
+import argparse
+import sys
+import datetime
+
+sys.path.append('../../python/src')
+
+from libnyumaya import AudioRecognition, FeatureExtractor
+from auto_platform import default_libpath
+
+from pydub import AudioSegment
+
+def split_sequence(a,seg_length):
+	return [a[x:x+seg_length] for x in range(0,len(a),seg_length)]
+
+
+def load_audio_file(filename):
+	sound = None
+	sound = AudioSegment.from_wav(filename)
+	sound = sound.set_frame_rate(16000)
+	sound = sound.set_channels(1)
+	sound = sound.set_sample_width(2)
+	duration = sound.duration_seconds
+
+	return sound,duration
+
+def detectKeywords(libpath,wavpath):
+	wav,dur = load_audio_file(wavpath)
+	extractor = FeatureExtractor(libpath)
+	detector = AudioRecognition(libpath)
+	extactor_gain = 1.0
+
+	keywordId = detector.addModel('../../models/Hotword/marvin_v3.1.286.premium',0.5)
+	bufsize = detector.getInputDataSize()*2
+
+	wav = wav.get_array_of_samples().tobytes()
+	splitdata = split_sequence(wav,bufsize)
+
+	for i,frame in enumerate(splitdata):
+		if(bufsize == len(frame)):
+			features = extractor.signalToMel(frame)
+			prediction = detector.runDetection(features)
+			if(prediction > 0):
+				return 1 # Keyword detected
+
+	return 0 # No keyword detected
+
+
+if __name__ == '__main__':
+	parser = argparse.ArgumentParser()
+
+	parser.add_argument(
+		'--libpath', type=str,
+		default=default_libpath,
+		help='Path to Platform specific nyumaya_lib.')
+
+	FLAGS, unparsed = parser.parse_known_args()
+	res_pos = None
+	res_neg = None
+	try:
+		res_pos = detectKeywords(FLAGS.libpath, "./nearfield_marvin.wav") # Positive Example
+		res_neg = detectKeywords(FLAGS.libpath, "./nearfield_sheila.wav") # Negative Example
+	except:
+		print("Test crashed")
+		sys.exit(1)
+
+	if( res_pos == 1 and res_neg == 0):
+		print("Test result OK")
+		sys.exit(0)
+	else:
+		print("Test result FAILED")
+		sys.exit(1)
+
+