I use API, Cloud Speech-to-Text V2 from Google Cloud Platform. I set the environment using JSON file. I want to transcribe an audio file from local to text. When I execute the code, it doesn't show error but shows a lot of encodes. How to revise it?
import os import asyncio from google.cloud.speech_v2 import SpeechClient from google.cloud.speech_v2.types import cloud_speech as speech from google.protobuf.json_format import MessageToDict # My credential file. os.environ['GOOGLE_APPLICATION_CREDENTIALS'] = '../config/google_credential.json' async def transcribe_audio(local_file_path): client = SpeechClient() with open(local_file_path, "rb") as audio_file: content = audio_file.read() # recognize how many speakers diarization_config = speech.SpeakerDiarizationConfig( min_speaker_count=2, max_speaker_count=6 ) features = speech.RecognitionFeatures( diarization_config=diarization_config ) # Recognition set. config = speech.RecognitionConfig( auto_decoding_config=speech.AutoDetectDecodingConfig(), features=features, language_codes=["en-US"], model="long", ) request = speech.RecognizeRequest( config=config, content=content ) operation = await client.batch_recognize(request=request) response = await operation.result() # File result. for result in response.results: for alternative in result.alternatives: print(f"Transcript: {alternative.transcript}") print(f"Confidence: {alternative.confidence}") for word in alternative.words: print(f"Word: {word.word}, Speaker: {word.speaker_tag}") response_dict = MessageToDict(response) with open("transcript.txt", "w") as transcript_file: for result in response_dict['results']: for alternative in result['alternatives']: transcript_file.write(f"Transcript: {alternative['transcript']}\n") transcript_file.write(f"Confidence: {alternative['confidence']}\n") for word in alternative['words']: transcript_file.write(f"Word: {word['word']}, Speaker: {word['speakerTag']}\n") # My file. local_file_path = "../voice/Chicago.mp3" asyncio.run(transcribe_audio(local_file_path))
Thank you.
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