有没有办法通过google cloud speech logging添加业务特定的元数据，与存储在google cloud上的音频文件一起存储？

from google.cloud import speech_v1p1beta1 as speech

def transcribe_speech_with_metadata():
    client = speech.SpeechClient()

    # 配置音频输入
    audio = speech.RecognitionAudio(uri="gs://your-audio-bucket/your-audio-file.wav")

    # 配置语音识别参数，包括元数据
    config = speech.RecognitionConfig(
        encoding=speech.RecognitionConfig.AudioEncoding.LINEAR16,
        sample_rate_hertz=16000,
        language_code="en-US",
        metadata={"key1": "value1", "key2": "value2"}
    )

    # 发送音频并获取识别结果
    response = client.recognize(config=config, audio=audio)

    # 处理识别结果
    for result in response.results:
        print("Transcript: {}".format(result.alternatives[0].transcript))

transcribe_speech_with_metadata()