轉錄音訊並選取模型 (v2)

使用 Speech-to-Text API 轉錄音訊檔案，並選取模型。

程式碼範例

Python

如要瞭解如何安裝及使用 Cloud STT 的用戶端程式庫，請參閱「Cloud STT 用戶端程式庫」。詳情請參閱「Cloud STT Python API 參考文件」。

如要向 Cloud STT 進行驗證，請設定應用程式預設憑證。詳情請參閱「為本機開發環境設定驗證機制」。

from google.cloud.speech_v2 import SpeechClient
from google.cloud.speech_v2.types import cloud_speech

# Instantiates a client
client = SpeechClient()

# TODO (Developer): Update the PROJECT_ID to the value of your project
# PROJECT_ID = "your-project-id"

# Reads a file as bytes
with open("resources/audio.wav", "rb") as f:
    audio_content = f.read()

config = cloud_speech.RecognitionConfig(
    auto_decoding_config=cloud_speech.AutoDetectDecodingConfig(),
    language_codes=["en-US"],
    model="short",  # Chosen model
)

request = cloud_speech.RecognizeRequest(
    recognizer=f"projects/{PROJECT_ID}/locations/global/recognizers/_",
    config=config,
    content=audio_content,
)

# Transcribes the audio into text
response = client.recognize(request=request)

for result in response.results:
    print(f"Transcript: {result.alternatives[0].transcript}")

後續步驟

如要搜尋及篩選其他 Google Cloud 產品的程式碼範例，請參閱Google Cloud 瀏覽器範例。