modify asr test

asr/sherpa_ncnn_asr.py

@@ -64,24 +64,25 @@ 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

@@ -0,0 +1,36 @@
+#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")