asr/sherpa_ncnn_asr.py

@@ -64,25 +64,24 @@ class SherpaNcnnAsr(AsrBase):
             self._notify_complete('介绍中国5000年历史文学')
             segment_id += 1
             time.sleep(60)
-'''
-        with sd.InputStream(channels=1, dtype="float32", samplerate=self._sample_rate) as s:
-            while not self._stop_event.is_set():
-                samples, _ = s.read(self._samples_per_read)  # a blocking read
-                samples = samples.reshape(-1)
-                self._recognizer.accept_waveform(self._sample_rate, samples)
-
-                is_endpoint = self._recognizer.is_endpoint
-
-                result = self._recognizer.text
-                if result and (last_result != result):
-                    last_result = result
-                    print("\r{}:{}".format(segment_id, result), end=".", flush=True)
-                    self._notify_process(result)
-
-                if is_endpoint:
-                    if result:
-                        print("\r{}:{}".format(segment_id, result), flush=True)
-                        self._notify_complete(result)
-                        segment_id += 1
-                    self._recognizer.reset()
-'''
+        #
+        # with sd.InputStream(channels=1, dtype="float32", samplerate=self._sample_rate) as s:
+        #     while not self._stop_event.is_set():
+        #         samples, _ = s.read(self._samples_per_read)  # a blocking read
+        #         samples = samples.reshape(-1)
+        #         self._recognizer.accept_waveform(self._sample_rate, samples)
+        #
+        #         is_endpoint = self._recognizer.is_endpoint
+        #
+        #         result = self._recognizer.text
+        #         if result and (last_result != result):
+        #             last_result = result
+        #             print("\r{}:{}".format(segment_id, result), end=".", flush=True)
+        #             self._notify_process(result)
+        #
+        #         if is_endpoint:
+        #             if result:
+        #                 print("\r{}:{}".format(segment_id, result), flush=True)
+        #                 self._notify_complete(result)
+        #                 segment_id += 1
+        #             self._recognizer.reset()

test/test_asr_only.py

@@ -1,36 +0,0 @@
-#encoding = utf8
-
-import sys
-import time
-
-from asr import SherpaNcnnAsr
-
-try:
-    import sounddevice as sd
-except ImportError as e:
-    print("Please install sounddevice first. You can use")
-    print()
-    print("  pip install sounddevice")
-    print()
-    print("to install it")
-    sys.exit(-1)
-
-
-def main():
-    print("Started! Please speak")
-    asr = SherpaNcnnAsr()
-    time.sleep(20)
-    print("Stop! ")
-    asr.stop()
-
-
-if __name__ == "__main__":
-    devices = sd.query_devices()
-    print(devices)
-    default_input_device_idx = sd.default.device[0]
-    print(f'Use default device: {devices[default_input_device_idx]["name"]}')
-
-    try:
-        main()
-    except KeyboardInterrupt:
-        print("\nCaught Ctrl + C. Exiting")