如何使用python从谷歌云读取mp3数据

Question

我正在尝试从谷歌云中读取 mp3/wav 数据并尝试实施音频 diarization 技术。问题是我无法读取 google api 在可变响应中传递的结果。

下面是我的python代码

speech_file = r'gs://pp003231/a4a.wav'
config = speech.types.RecognitionConfig(
    encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16,
    language_code='en-US',
    enable_speaker_diarization=True,
    diarization_speaker_count=2)
audio = speech.types.RecognitionAudio(uri=speech_file)
response = client.long_running_recognize(config, audio)
print response
result = response.results[-1]
print result

控制台上显示的输出是 回溯（最近一次通话最后）： 文件“a1.py”，第 131 行，在 打印 response.results AttributeError：“操作”对象没有属性“结果”

您能否就我做错的事情分享您的专家建议？ 感谢您的帮助。

Answer 1

对于这个帖子的作者来说太晚了。但是，将来为某人发布解决方案，因为我也有类似的问题。 改变 结果 = response.results[-1] 至 结果 = response.result().results[-1] 它会正常工作

Answer 2

您可以访问存储桶中的 wav 文件吗？另外，这是整个代码吗？似乎缺少 sample_rate_hertz 和导入。在这里，您有从 google docs 示例中复制/粘贴的代码，但我对其进行了编辑以仅具有 diarization 功能。

#!/usr/bin/env python
"""Google Cloud Speech API sample that demonstrates enhanced models
and recognition metadata.
Example usage:
    python diarization.py
"""

import argparse
import io



def transcribe_file_with_diarization():
    """Transcribe the given audio file synchronously with diarization."""
    # [START speech_transcribe_diarization_beta]
    from google.cloud import speech_v1p1beta1 as speech
    client = speech.SpeechClient()



    audio = speech.types.RecognitionAudio(uri="gs://<YOUR_BUCKET/<YOUR_WAV_FILE>")

    config = speech.types.RecognitionConfig(
        encoding=speech.enums.RecognitionConfig.AudioEncoding.LINEAR16,
        sample_rate_hertz=8000,
        language_code='en-US',
        enable_speaker_diarization=True,
        diarization_speaker_count=2)

    print('Waiting for operation to complete...')
    response = client.recognize(config, audio)

    # The transcript within each result is separate and sequential per result.
    # However, the words list within an alternative includes all the words
    # from all the results thus far. Thus, to get all the words with speaker
    # tags, you only have to take the words list from the last result:
    result = response.results[-1]

    words_info = result.alternatives[0].words

    # Printing out the output:
    for word_info in words_info:
        print("word: '{}', speaker_tag: {}".format(word_info.word,
                                                   word_info.speaker_tag))
    # [END speech_transcribe_diarization_beta]



if __name__ == '__main__':

    transcribe_file_with_diarization()

要运行代码，只需将其命名为 diarization.py 并使用命令：

python diarization.py

另外，您必须安装最新的 google-cloud-speech 库：

pip install --upgrade google-cloud-speech

并且您需要将服务帐户的凭据保存在 json 文件中，您可以查看更多信息here