Speech examples results

test_speech_examples.py

import time
from google.cloud import speech

# client = speech.Client()
# sample = client.sample(source_uri='gs://ferrous-arena-my-test-bucket/hello.wav',
#                        encoding=speech.Encoding.LINEAR16,
#                        sample_rate=16000)
# operation = sample.async_recognize(max_alternatives=2)
# retry_count = 100
# while retry_count > 0 and not operation.complete:
#     retry_count -= 1
#     time.sleep(10)
#     operation.poll()  # API call
# operation.complete
#
# for result in operation.results:
#     for alternative in result.alternatives:
#         print('=' * 20)
#         print(alternative.transcript)
#         print(alternative.confidence)


"""
Output:

====================
hello thank you for using Google Cloud platform
0.927983105183
====================
thank you for using Google Cloud platform
None
"""

# client = speech.Client()
# sample = client.sample(source_uri='gs://ferrous-arena-my-test-bucket/hello.wav',
#                        encoding=speech.Encoding.LINEAR16,
#                        sample_rate=16000)
# results = sample.sync_recognize(language_code='en-GB', max_alternatives=2)
# for result in results:
#     for alternative in result.alternatives:
#         print('=' * 20)
#         print('transcript: ' + alternative.transcript)
#         print('confidence: ' + str(alternative.confidence))

"""
Output:

====================
transcript: hello thank you for using Google Cloud platform
confidence: 0.975160181522
"""


# from google.cloud import speech
# client = speech.Client()
# sample = client.sample(source_uri='gs://ferrous-arena-my-test-bucket/hello.wav',
#                        encoding=speech.Encoding.LINEAR16,
#                        sample_rate=16000)
# results = sample.sync_recognize(max_alternatives=1, profanity_filter=True)
# for result in results:
#     for alternative in result.alternatives:
#         print('=' * 20)
#         print('transcript: ' + alternative.transcript)
#         print('confidence: ' + str(alternative.confidence))

"""
Output:

====================
transcript: hello thank you for using Google Cloud platform
confidence: 0.927982807159
"""

# from google.cloud import speech
# client = speech.Client()
# sample = client.sample(source_uri='gs://ferrous-arena-my-test-bucket/hello.wav',
#                        encoding=speech.Encoding.LINEAR16,
#                        sample_rate=16000)
# hints = ['hi', 'good afternoon']
# results = sample.sync_recognize(max_alternatives=2, speech_context=hints)
# for result in results:
#     for alternative in result.alternatives:
#         print('=' * 20)
#         print('transcript: ' + alternative.transcript)
#         print('confidence: ' + str(alternative.confidence))

"""
Output:

====================
transcript: hello thank you for using Google Cloud platform
confidence: 0.927982926369
====================
transcript: thank you for using Google Cloud platform
confidence: None
"""

# client = speech.Client()
# with open('./hello-working.wav', 'rb') as stream:
#     sample = client.sample(stream=stream,
#                            encoding=speech.Encoding.LINEAR16,
#                            sample_rate=16000)
#     results = sample.streaming_recognize()
#
#     for result in results:
#         for alternative in result.alternatives:
#             print('=' * 20)
#             print('transcript: ' + alternative.transcript)
#             print('confidence: ' + str(alternative.confidence))

"""
Output:
====================
transcript: hello thank you for using Google Cloud platform
confidence: 0.927983105183
"""


# client = speech.Client()
# with open('./pause_testing_mono.wav', 'rb') as stream:
#     sample = client.sample(stream=stream,
#                            encoding=speech.Encoding.LINEAR16,
#                            sample_rate=16000)
#     results = sample.streaming_recognize(single_utterance=True)
#
#     for result in results:
#         for alternative in result.alternatives:
#             print('=' * 20)
#             print('transcript: ' + alternative.transcript)
#             print('confidence: ' + str(alternative.confidence))
"""
Output:

====================
transcript: testing a pause  # Note: Full audio is "testing a pause.....1 2 3"
confidence: 0.933770477772
"""

client = speech.Client()
with open('./pause_testing_mono.wav', 'rb') as stream:
    sample = client.sample(stream=stream,
                           encoding=speech.Encoding.LINEAR16,
                           sample_rate=16000)
    results = sample.streaming_recognize(interim_results=True)

    for result in results:
        for alternative in result.alternatives:
            print('=' * 20)
            print('transcript: ' + alternative.transcript)
            print('confidence: ' + str(alternative.confidence))
            print('is_final:' + str(result.is_final))
"""
Output:

====================
transcript: test
confidence: None
is_final:False
====================
transcript: test a
confidence: None
is_final:False
====================
transcript: testing
confidence: None
is_final:False
====================
transcript: testing a
confidence: None
is_final:False
====================
transcript: testing a paw
confidence: None
is_final:False
====================
transcript: testing
confidence: None
is_final:False
====================
transcript:  a paw
confidence: None
is_final:False
====================
transcript: testing
confidence: None
is_final:False
====================
transcript:  a pause
confidence: None
is_final:False
====================
transcript: testing a
confidence: None
is_final:False
====================
transcript:  pause
confidence: None
is_final:False
====================
transcript: testing a pause
confidence: None
is_final:False
====================
transcript: testing a pause
confidence: None
is_final:False
====================
transcript:  one
confidence: None
is_final:False
====================
transcript: testing a pause one
confidence: None
is_final:False
====================
transcript: testing a pause one
confidence: None
is_final:False
====================
transcript:  to
confidence: None
is_final:False
====================
transcript: testing a pause one
confidence: None
is_final:False
====================
transcript:  two three
confidence: None
is_final:False
====================
transcript: testing a pause one two three
confidence: None
is_final:False
====================
transcript: testing a pause one two three
confidence: 0.778945684433
is_final:True
"""