Transcribe a local file using an enhanced speech recognition (beta)
Stay organized with collections
Save and categorize content based on your preferences.
Transcribe a local audio file, where you specify an enhanced model.
Code sample
Except as otherwise noted, the content of this page is licensed under the Creative Commons Attribution 4.0 License
, and code samples are licensed under the Apache 2.0 License
. For details, see the Google Developers Site Policies
. Java is a registered trademark of Oracle and/or its affiliates.
[[["Easy to understand","easyToUnderstand","thumb-up"],["Solved my problem","solvedMyProblem","thumb-up"],["Other","otherUp","thumb-up"]],[["Hard to understand","hardToUnderstand","thumb-down"],["Incorrect information or sample code","incorrectInformationOrSampleCode","thumb-down"],["Missing the information/samples I need","missingTheInformationSamplesINeed","thumb-down"],["Other","otherDown","thumb-down"]],[],[],[],null,["# Transcribe a local file using an enhanced speech recognition (beta)\n\nTranscribe a local audio file, where you specify an enhanced model.\n\nCode sample\n-----------\n\n### Python\n\n\nTo learn how to install and use the client library for Speech-to-Text, see\n[Speech-to-Text client libraries](/speech-to-text/docs/client-libraries).\n\n\nFor more information, see the\n[Speech-to-Text Python API\nreference documentation](/python/docs/reference/speech/latest).\n\n\nTo authenticate to Speech-to-Text, set up Application Default Credentials.\nFor more information, see\n\n[Set up authentication for a local development environment](/docs/authentication/set-up-adc-local-dev-environment).\n\n from google.cloud import speech_v1p1beta1 as speech\n\n client = speech.SpeechClient()\n\n speech_file = \"resources/commercial_mono.wav\"\n\n with open(speech_file, \"rb\") as audio_file:\n content = audio_file.read()\n\n audio = speech.RecognitionAudio(content=content)\n config = speech.RecognitionConfig(\n encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,\n sample_rate_hertz=8000,\n language_code=\"en-US\",\n use_enhanced=True,\n # A model must be specified to use enhanced model.\n model=\"phone_call\",\n )\n\n response = client.recognize(config=config, audio=audio)\n\n for i, result in enumerate(response.results):\n alternative = result.alternatives[0]\n print(\"-\" * 20)\n print(f\"First alternative of result {i}\")\n print(f\"Transcript: {alternative.transcript}\")\n\n return response.results\n\nWhat's next\n-----------\n\n\nTo search and filter code samples for other Google Cloud products, see the\n[Google Cloud sample browser](/docs/samples?product=speech)."]]
