add word time offsets to async sample (#1042)

Author: dizcology

speech/cloud-client/transcribe_async.py

@@ -79,7 +79,8 @@ def transcribe_gcs(gcs_uri):
     config = types.RecognitionConfig(
         encoding=enums.RecognitionConfig.AudioEncoding.FLAC,
         sample_rate_hertz=16000,
-        language_code='en-US')
+        language_code='en-US',
+        enable_word_time_offsets=True)
 
     operation = client.long_running_recognize(config, audio)
 
@@ -96,6 +97,15 @@ def transcribe_gcs(gcs_uri):
     for alternative in alternatives:
         print('Transcript: {}'.format(alternative.transcript))
         print('Confidence: {}'.format(alternative.confidence))
+
+        for word_info in alternative.words:
+            word = word_info.word
+            start_time = word_info.start_time
+            end_time = word_info.end_time
+            print('Word: {}, start_time: {}, end_time: {}'.format(
+                word,
+                start_time.seconds + start_time.nanos * 1e-9,
+                end_time.seconds + end_time.nanos * 1e-9))
 # [END def_transcribe_gcs]
 
 

speech/cloud-client/transcribe_async_test.py

@@ -33,3 +33,14 @@ def test_transcribe_gcs(capsys):
     out, err = capsys.readouterr()
 
     assert re.search(r'how old is the Brooklyn Bridge', out, re.DOTALL | re.I)
+
+
+def test_transcribe_gcs_word_time_offsets(capsys):
+    transcribe_async.transcribe_gcs(
+        'gs://python-docs-samples-tests/speech/audio.flac')
+    out, err = capsys.readouterr()
+
+    match = re.search(r'Bridge, start_time: ([0-9.]+)', out, re.DOTALL | re.I)
+    time = float(match.group(1))
+
+    assert time > 0