Speech-to-Text with spoken punctuation and emojis

This sample demonstrates how to use the Speech-to-Text API to transcribe audio with spoken punctuation and emojis.

Code sample

Python

To learn how to install and use the client library for Speech-to-Text, see Speech-to-Text client libraries. For more information, see the Speech-to-Text Python API reference documentation.

To authenticate to Speech-to-Text, set up Application Default Credentials. For more information, see Set up authentication for a local development environment.

from google.cloud import speech_v1p1beta1 as speech
from google.protobuf import wrappers_pb2

client = speech.SpeechClient()

speech_file = "resources/commercial_mono.wav"

with open(speech_file, "rb") as audio_file:
    content = audio_file.read()

audio = speech.RecognitionAudio(content=content)
config = speech.RecognitionConfig(
    encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
    sample_rate_hertz=8000,
    language_code="en-US",
    # Enable spoken punctuation
    enable_spoken_punctuation=wrappers_pb2.BoolValue(value=True),
    # Enable spoken emojis
    enable_spoken_emojis=wrappers_pb2.BoolValue(value=True),
)

response = client.recognize(config=config, audio=audio)

for i, result in enumerate(response.results):
    alternative = result.alternatives[0]
    print("-" * 20)
    print(f"First alternative of result {i}")
    print(f"Transcript: {alternative.transcript}")

return response.results

What's next

To search and filter code samples for other Google Cloud products, see the Google Cloud sample browser.