你能给我们更多的信息吗。。。例如，在项目的这一部分中使用哪种语言和库版本？

假设您使用的是Python，您可以在此处找到另一种连接到Google Cloud Speech to Text Api的官方方式：https://cloud.google.com/speech-to-text/docs/basics

我习惯于使用googleapiclientphyton包和JSON数据结构，而不是字典数据。

import base64
import googleapiclient.discovery

with open(speech_file, 'rb') as speech:
    # Base64 encode the binary audio file for inclusion in the JSON
    # request.
    speech_content = base64.b64encode(speech.read())

# Construct the request
service = googleapiclient.discovery.build('speech', 'v1')
service_request = service.speech().recognize(
    body={
        "config": {
            "encoding": "LINEAR16",  # raw 16-bit signed LE samples
            "sampleRateHertz": 16000,  # 16 khz
            "languageCode": "en-US",  # a BCP-47 language tag
        },
        "audio": {
            "content": speech_content
            }
        })

如果你不知道如何安装python包，请参考这篇官方文章：https://packaging.python.org/tutorials/installing-packages/#id13

如需LongRun请求，请参阅：https://cloud.google.com/speech-to-text/docs/reference/rest/v1/speech/longrunningrecognize

在这种情况下，配置JSON结构将是：

{
  "config": {
    object(RecognitionConfig)
  },
  "audio": {
    object(RecognitionAudio)
  }
}

其中，RecognitionConfig是以下类型的JSON对象：

{
  "encoding": enum(AudioEncoding),
  "sampleRateHertz": number,
  "languageCode": string,
  "maxAlternatives": number,
  "profanityFilter": boolean,
  "speechContexts": [
    {
      object(SpeechContext)
    }
  ],
  "enableWordTimeOffsets": boolean
}

和识别音频是这样的：

{
  // Union field audio_source can be only one of the following:
  "content": string,
  "uri": string
  // End of list of possible types for union field audio_source.
}

有关LongRunning识别，您也可以参考以下链接：https://developers.google.com/resources/api-libraries/documentation/speech/v1/java/latest/com/google/api/services/speech/v1/Speech.SpeechOperations.html

它展示了如何使用Phyton软件包GoogleAppClient。查找用于长时间运行的请求，只需在Phyton类中使用以下方法即可：

...
service_request = service.speech().longrunningrecognize(
        body= {
            "config": {
                "encoding": "FLAC",
                "languageCode": "en-US",
                "enableWordTimeOffsets": True
            },
            "audio": {
                "uri": str('gs://speech-clips/'+self.audio_fqid)
            }
        }
    )
...