Google cloud platform 谷歌云语音到文本的转换非常不准确，最后一个结果包含所有其他结果，而speakerTag仅显示最后一个结果
我正在使用谷歌语音通过命令行发送文本，结果很奇怪 这是我的命令Google cloud platform 谷歌云语音到文本的转换非常不准确，最后一个结果包含所有其他结果，而speakerTag仅显示最后一个结果,google-cloud-platform,gcloud,google-speech-api,google-speech-to-text-api,Google Cloud Platform,Gcloud,Google Speech Api,Google Speech To Text Api,我正在使用谷歌语音通过命令行发送文本，结果很奇怪 这是我的命令 gcloud beta ml speech recognize-long-running gs://my_bucket_name/call0.mp3 --language-code=en-US --async --include-word-time-offsets --enable-speaker-diarization --diarization-speaker-count=2 这是音频文件： 问题是： 结果是非常糟糕和不
gcloud beta ml speech recognize-long-running gs://my_bucket_name/call0.mp3
--language-code=en-US --async --include-word-time-offsets --enable-speaker-diarization
--diarization-speaker-count=2
{
"done": true,
"metadata": {
"@type": "type.googleapis.com/google.cloud.speech.v1p1beta1.LongRunningRecognizeMetadata",
"lastUpdateTime": "2020-07-13T18:56:33.689140Z",
"progressPercent": 100,
"startTime": "2020-07-13T18:27:45.757871Z",
"uri": "gs://deepagent-db032.appspot.com/conmagi/call1.mp3"
},
"name": "398565854464473919",
"response": {
"@type": "type.googleapis.com/google.cloud.speech.v1p1beta1.LongRunningRecognizeResponse",
"results": [
{
"alternatives": [
{
"confidence": 0.87135065,
"transcript": "love",
"words": [
{
"endTime": "11.300s",
"startTime": "10.400s",
"word": "love"
}
]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
"confidence": 0.48216835,
"transcript": "you are",
"words": [
{
"endTime": "425.100s",
"startTime": "424.500s",
"word": "you"
},
{
"endTime": "425.400s",
"startTime": "425.100s",
"word": "are"
}
]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
"confidence": 0.9194219,
"transcript": "how far is it from",
"words": [
{
"endTime": "475.200s",
"startTime": "473.800s",
"word": "how"
},
{
"endTime": "475.500s",
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"word": "far"
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{
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}
]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
"confidence": 0.823343,
"transcript": "I want",
"words": [
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"word": "I"
},
{
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"word": "want"
}
]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
"confidence": 0.56559134,
"transcript": "Blue Ivy",
"words": [
{
"endTime": "990.100s",
"startTime": "989.500s",
"word": "Blue"
},
{
"endTime": "991.100s",
"startTime": "990.100s",
"word": "Ivy"
}
]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
"confidence": 0.78465956,
"transcript": "how old is Wawa",
"words": [
{
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"word": "how"
},
{
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"word": "old"
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{
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"word": "is"
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{
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"word": "Wawa"
}
]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
"confidence": 0.9475956,
"transcript": "how are you",
"words": [
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"word": "how"
},
{
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"word": "you"
}
]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
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"transcript": "New York mall",
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"word": "New"
},
{
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"word": "York"
},
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"word": "mall"
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]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
"confidence": 0.6706576,
"transcript": "call",
"words": [
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"word": "call"
}
]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
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"transcript": "call Paul Wall",
"words": [
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"word": "call"
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{
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"word": "Paul"
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"word": "Wall"
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]
}
],
"languageCode": "en-us"
},
{
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{
"confidence": 0.8331511,
"transcript": "no",
"words": [
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"word": "no"
}
]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
"confidence": 0.62488914,
"transcript": "call Jeff",
"words": [
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"word": "call"
},
{
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"word": "Jeff"
}
]
}
],
"languageCode": "en-us"
},
{
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{
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"transcript": "call home",
"words": [
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"word": "call"
},
{
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"word": "home"
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],
"languageCode": "en-us"
},
{
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"transcript": "how old are you",
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],
"languageCode": "en-us"
},
{
"alternatives": [
{
"confidence": 0.70297575,
"transcript": " Europe",
"words": [
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"word": "Europe"
}
]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
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"transcript": " how are you",
"words": [
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],
"languageCode": "en-us"
},
{
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{
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"transcript": " the only one",
"words": [
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{
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"transcript": " call",
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],
"languageCode": "en-us"
},
{
"alternatives": [
{
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"transcript": " Walgreens",
"words": [
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"word": "Walgreens"
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]
}
],
"languageCode": "en-us"
},
{
"alternatives": [
{
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"transcript": " we want to watch",
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],
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},
{
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"transcript": " I love you",
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],
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{
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"transcript": " how old is Moana",
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}
Speaker Tag在这个API中被弃用，speakerTag很难给出准确的结果，我建议您使用ChannelTag代替speakerTag，比如result.ChannelTag，您可能会得到更好的结果。我遇到了同样的问题，特别是在性能不好的情况下，与日记相关的问题。 我也曾尝试从AWS获取我的脚本，但我发现单词错误率较高，但更好地识别人与人之间的转换 正如您所知，这是一个测试版功能，在这个阶段，他们没有SLA（服务级别协议）来完成。 我向谷歌团队报告了这个bug，他们回答说： 测试版中没有SLA或技术支持义务 除非产品条款[…]中另有规定。平均β 该阶段持续约六个月 所以我相信团队需要一段时间才能正式发布这个特性
如果没有分离的频道结果，我的音频文件中没有分离的频道。ChannelTag将返回至少1，因此，您将为所有单词获得一个ChannelTag，如果有多个频道，您可以为其启用扬声器日记，这可以分离频道，通过ChannelTag您可以看到哪个频道频道词是可以的，谢谢，但我需要同样的扬声器日记功能channel@AvielNiego您可以在识别配置或日记配置中启用说话人日记，并且可以使用channelTag而不是speakerTag，因为speakerTag在大多数情况下已被弃用且不准确，因为你没有分开的频道，你看不出有什么不同，但是如果有多个频道，你可以通过在你的单词中使用channelTag，开始时间和结束时间迭代循环，得到正在讲话的频道……你在世界上任何地方提过这个问题吗？我也遇到同样的问题，tks。