add speech api multichannel samples [(#2003)](GoogleCloudPlatform/pyt…

…hon-docs-samples#2003)

* add speech api multichannel samples

* udpate copyright year

* test with multichannel audio data

* flake

* update comment

samples/snippets/transcribe_enhanced_model.py

@@ -22,16 +22,15 @@
 """
 
 import argparse
-import io
 
 
 def transcribe_file_with_enhanced_model(path):
     """Transcribe the given audio file using an enhanced model."""
     # [START speech_transcribe_enhanced_model]
-    import io 
-    
+    import io
+
     from google.cloud import speech
-    
+
     client = speech.SpeechClient()
 
     # path = 'resources/commercial_mono.wav'

samples/snippets/transcribe_multichannel.py

@@ -0,0 +1,95 @@
+#!/usr/bin/env python
+
+# Copyright 2019 Google Inc. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#      http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+"""Google Cloud Speech API sample that demonstrates multichannel recognition.
+
+Example usage:
+    python transcribe_multichannel.py resources/multi.wav
+    python transcribe_multichannel.py \
+        gs://cloud-samples-tests/speech/multi.wav
+"""
+
+import argparse
+
+
+def transcribe_file_with_multichannel(speech_file):
+    """Transcribe the given audio file synchronously with
+      multi channel."""
+    # [START speech_transcribe_multichannel]
+    from google.cloud import speech
+    client = speech.SpeechClient()
+
+    with open(speech_file, 'rb') as audio_file:
+        content = audio_file.read()
+
+    audio = speech.types.RecognitionAudio(content=content)
+
+    config = speech.types.RecognitionConfig(
+        encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16,
+        sample_rate_hertz=44100,
+        language_code='en-US',
+        audio_channel_count=2,
+        enable_separate_recognition_per_channel=True)
+
+    response = client.recognize(config, audio)
+
+    for i, result in enumerate(response.results):
+        alternative = result.alternatives[0]
+        print('-' * 20)
+        print('First alternative of result {}'.format(i))
+        print(u'Transcript: {}'.format(alternative.transcript))
+        print(u'Channel Tag: {}'.format(result.channel_tag))
+    # [END speech_transcribe_multichannel]
+
+
+def transcribe_gcs_with_multichannel(gcs_uri):
+    """Transcribe the given audio file on GCS with
+      multi channel."""
+    # [START speech_transcribe_multichannel_gcs]
+    from google.cloud import speech
+    client = speech.SpeechClient()
+
+    audio = speech.types.RecognitionAudio(uri=gcs_uri)
+
+    config = speech.types.RecognitionConfig(
+        encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16,
+        sample_rate_hertz=44100,
+        language_code='en-US',
+        audio_channel_count=2,
+        enable_separate_recognition_per_channel=True)
+
+    response = client.recognize(config, audio)
+
+    for i, result in enumerate(response.results):
+        alternative = result.alternatives[0]
+        print('-' * 20)
+        print('First alternative of result {}'.format(i))
+        print(u'Transcript: {}'.format(alternative.transcript))
+        print(u'Channel Tag: {}'.format(result.channel_tag))
+    # [END speech_transcribe_multichannel_gcs]
+
+
+if __name__ == '__main__':
+    parser = argparse.ArgumentParser(
+        description=__doc__,
+        formatter_class=argparse.RawDescriptionHelpFormatter)
+    parser.add_argument(
+        'path', help='File or GCS path for audio file to be recognized')
+    args = parser.parse_args()
+    if args.path.startswith('gs://'):
+        transcribe_gcs_with_multichannel(args.path)
+    else:
+        transcribe_file_with_multichannel(args.path)

samples/snippets/transcribe_multichannel_test.py

@@ -0,0 +1,36 @@
+# Copyright 2019, Google, Inc.
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#    http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+from transcribe_multichannel import (
+    transcribe_file_with_multichannel,
+    transcribe_gcs_with_multichannel)
+
+RESOURCES = os.path.join(os.path.dirname(__file__), 'resources')
+
+
+def test_transcribe_multichannel_file(capsys):
+    transcribe_file_with_multichannel(
+        os.path.join(RESOURCES, 'multi.wav'))
+    out, err = capsys.readouterr()
+
+    assert 'how are you doing' in out
+
+
+def test_transcribe_multichannel_gcs(capsys):
+    transcribe_gcs_with_multichannel(
+        'gs://cloud-samples-data/speech/multi.wav')
+    out, err = capsys.readouterr()
+
+    assert 'how are you doing' in out