Merge pull request #437 from boxerab/rawpcm
audio: add support for raw pcm input via server flag
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@@ -84,6 +84,12 @@ if __name__ == "__main__":
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default=50,
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help='Maximum time in ms to wait for batch to fill (default: 50).'
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)
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parser.add_argument(
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'--raw_pcm_input',
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action='store_true',
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help='Expect raw PCM int16 audio from clients instead of float32. '
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'Audio will be normalized to float32 range [-1.0, 1.0].'
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)
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args = parser.parse_args()
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if args.backend == "tensorrt":
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@@ -113,4 +119,5 @@ if __name__ == "__main__":
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batch_enabled=args.batch_inference,
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batch_max_size=args.batch_max_size,
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batch_window_ms=args.batch_window_ms,
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raw_pcm_input=args.raw_pcm_input,
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)
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@@ -169,6 +169,28 @@ class TestTranscriptionServerGetAudio(unittest.TestCase):
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result = self.server.get_audio_from_websocket(ws)
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np.testing.assert_array_almost_equal(result, audio)
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def test_raw_pcm_input_normalizes_int16(self):
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import numpy as np
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self.server.raw_pcm_input = True
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ws = MagicMock()
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pcm = np.array([0, 16384, -16384, 32767], dtype=np.int16)
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ws.recv.return_value = pcm.tobytes()
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result = self.server.get_audio_from_websocket(ws)
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expected = pcm.astype(np.float32) / 32768.0
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np.testing.assert_array_almost_equal(result, expected)
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self.assertTrue(result.dtype == np.float32)
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self.assertTrue(np.all(result >= -1.0))
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self.assertTrue(np.all(result <= 1.0))
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def test_raw_pcm_input_off_reads_float32(self):
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import numpy as np
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self.server.raw_pcm_input = False
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ws = MagicMock()
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audio = np.array([0.5, -0.5], dtype=np.float32)
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ws.recv.return_value = audio.tobytes()
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result = self.server.get_audio_from_websocket(ws)
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np.testing.assert_array_almost_equal(result, audio)
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class TestTranscriptionServerHandleNewConnection(unittest.TestCase):
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def setUp(self):
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@@ -160,6 +160,7 @@ class TranscriptionServer:
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self.use_vad = True
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self.single_model = False
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self.batch_config = None
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self.raw_pcm_input = False
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def initialize_client(
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self, websocket, options, faster_whisper_custom_model_path,
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@@ -316,6 +317,9 @@ class TranscriptionServer:
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frame_data = websocket.recv()
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if frame_data == b"END_OF_AUDIO":
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return False
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if self.raw_pcm_input:
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audio_np = np.frombuffer(frame_data, dtype=np.int16)
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return audio_np.astype(np.float32) / 32768.0
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return np.frombuffer(frame_data, dtype=np.float32)
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def handle_new_connection(self, websocket, faster_whisper_custom_model_path,
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@@ -431,7 +435,8 @@ class TranscriptionServer:
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cors_origins: Optional[str] = None,
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batch_enabled=False,
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batch_max_size=8,
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batch_window_ms=50):
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batch_window_ms=50,
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raw_pcm_input=False):
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"""
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Run the transcription server.
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@@ -449,6 +454,7 @@ class TranscriptionServer:
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to 50.
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"""
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self.cache_path = cache_path
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self.raw_pcm_input = raw_pcm_input
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self.client_manager = ClientManager(max_clients, max_connection_time)
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if faster_whisper_custom_model_path is not None and not os.path.exists(faster_whisper_custom_model_path):
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if "/" not in faster_whisper_custom_model_path:
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