openwakeword support

tests/openwakeword_test.py

@@ -0,0 +1,55 @@
+if __name__ == '__main__':
+    print("Starting...")
+    from RealtimeSTT import AudioToTextRecorder
+    import logging
+
+    detected = False
+
+    say_wakeword_str = "Listening for wakeword 'samantha'."
+
+    def on_wakeword_detected():
+        global detected
+        detected = True
+
+    def on_recording_stop():
+        print ("Transcribing...")
+    
+    def on_wakeword_timeout():
+        global detected
+        if not detected:
+            print(f"Timeout. {say_wakeword_str}")
+
+        detected = False
+
+    def on_wakeword_detection_start():
+        print(f"\n{say_wakeword_str}")
+
+    def on_recording_start():
+        print ("Recording...")
+
+    def on_vad_detect_start():
+        print()
+        print()
+
+    def text_detected(text):
+        print(f">> {text}")
+
+    with AudioToTextRecorder(
+        spinner=False,
+        model="large-v2",
+        language="en", 
+        wakeword_backend="oww",
+        wake_words_sensitivity=0.35,
+        openwakeword_model_paths="model_wake_word1.onnx,model_wake_word2.onnx",
+        # openwakeword_model_paths="suh_man_tuh.onnx,suh_mahn_thuh.onnx", # load these test models from https://huggingface.co/KoljaB/SamanthaOpenwakeword/tree/main and save in tests folder
+        on_wakeword_detected=on_wakeword_detected,
+        on_recording_start=on_recording_start,
+        on_recording_stop=on_recording_stop,
+        on_wakeword_timeout=on_wakeword_timeout,
+        on_wakeword_detection_start=on_wakeword_detection_start,
+        on_vad_detect_start=on_vad_detect_start,
+        wake_word_buffer_duration=1,
+        ) as recorder:
+
+        while (True):                
+            recorder.text(text_detected)