DAY 10 - Translate 125 Plus Languages Using Google Artificial Intelligence - Part 2 - IT Consultant - SAP, Artificial Intelligence and Machine Learning

We have seen step-by-step installation up to running ipython command to “Translate 125 Plus Languages Using Google Artificial Intelligence – Part 1″ on Google Cloud Platform.

Today we will see how to import the Google Speech-to-Text library, import standard Google Speech-to-Text functions, translate those speeches into US and French languages, print those words.

Start the command below command if you already closed google cloudshell.

ipython

2. import speech library from google cloud

from google.cloud import speech_v1 as speech

3. Copy and paste a below code

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#Function to call Speech to text, call SpeechClient and recognize the audio from library
def speech_to_text(config, audio):
    client = speech.SpeechClient()
    response = client.recognize(config=config, audio=audio)
    print_sentences(response)

#Function to transcript and print sentences/words which received from audio
def print_sentences(response):
    for result in response.results:
        best_alternative = result.alternatives[0]
        transcript = best_alternative.transcript
        confidence = best_alternative.confidence
        print("-" * 80)
        print(f"Transcript: {transcript}")
        print(f"Confidence: {confidence:.0%}")
        print_word_offsets(best_alternative)

#Function to show transcribe audio file with word timestamps
def print_word_offsets(alternative):
    for word in alternative.words:
        start_s = word.start_time.total_seconds()
        end_s = word.end_time.total_seconds()
        word = word.word
        print(f"{start_s:>7.3f} | {end_s:>7.3f} | {word}")

#Config varaible to pass which language needs to pass e-g English or Germany etc
config = dict(
    language_code="en-US",
    enable_automatic_punctuation=True,
    enable_word_time_offsets=True,
)
#call audio file path and save in local audio variable
audio = dict(uri="gs://cloud-samples-data/speech/brooklyn_bridge.flac")

4. Call the function Google Speech-to-Text

speech_to_text(config, audio)
 output from the Speech to text:

5. let’s Transcribe in french language.

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Output:

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DAY 10 – Translate 125 Plus Languages Using Google Artificial Intelligence – Part 2