add SelectedMicEnergyRecorder, SelectedSpeakeEnergyRecorder

audio_recorder.py

@@ -21,7 +21,7 @@ class BaseRecorder:
 
     def record_into_queue(self, audio_queue):
         def record_callback(_, audio):
-            audio_queue.put((audio.get_raw_data(), datetime.now()))
+            audio_queue.put((audio[0].get_raw_data(), audio[1], datetime.now()))
 
         self.stop = self.recorder.listen_in_background(self.source, record_callback, phrase_time_limit=self.record_timeout)
 
@@ -44,4 +44,48 @@ class SelectedSpeakerRecorder(BaseRecorder):
             channels=device["maxInputChannels"]
         )
         super().__init__(source=source, energy_threshold=energy_threshold, dynamic_energy_threshold=dynamic_energy_threshold, record_timeout=record_timeout)
+        self.adjust_for_noise()
+
+class BaseEnergyRecorder:
+    def __init__(self, source):
+        self.recorder = Recognizer()
+        self.recorder.energy_threshold = 0
+        self.recorder.dynamic_energy_threshold = False
+        self.record_timeout = 0
+        self.stop = None
+
+        if source is None:
+            raise ValueError("audio source can't be None")
+
+        self.source = source
+
+    def adjust_for_noise(self):
+        with self.source:
+            self.recorder.adjust_for_ambient_noise(self.source)
+
+    def record_into_queue(self, energy_queue):
+        def record_callback(_, energy):
+            energy_queue.put(energy)
+
+        self.stop = self.recorder.listen_energy_in_background(self.source, record_callback)
+
+class SelectedMicEnergyRecorder(BaseEnergyRecorder):
+    def __init__(self, device):
+        source=Microphone(
+            device_index=device['index'],
+            sample_rate=int(device["defaultSampleRate"]),
+        )
+        super().__init__(source=source)
+        self.adjust_for_noise()
+
+class SelectedSpeakeEnergyRecorder(BaseEnergyRecorder):
+    def __init__(self, device):
+
+        source = Microphone(speaker=True,
+            device_index= device["index"],
+            sample_rate=int(device["defaultSampleRate"]),
+            chunk_size=get_sample_size(paInt16),
+            channels=device["maxInputChannels"]
+        )
+        super().__init__(source=source)
         self.adjust_for_noise()