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如何使用Google的Cloud Speech-to-Text REST API转录视频

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我希望在视频中有两个人的成绩单,但我从 Cloud 语音到文本API得到一个空洞的回复

Approach:

我有一个56分钟的视频文件,其中包含两个人之间的对话 . 我希望获得该对话的成绩单,并且我想使用Google的Cloud Speech-to-Text API来实现这一目标 .

为了节省我的Google Cloud 端存储空间,首先使用 mmpeg 将视频转换为音频 .

首先,我尝试使用下面的命令找出音频编解码器,它看起来像AAC .
ffmpeg -i video.mp4

Input #0, mov,mp4,m4a,3gp,3g2,mj2, from 'videoplayback.mp4':
  Metadata:
    major_brand     : mp42
    minor_version   : 0
    compatible_brands: isommp42
    creation_time   : 2015-12-30T08:17:14.000000Z
  Duration: 00:56:03.99, start: 0.000000, bitrate: 362 kb/s
    Stream #0:0(und): Video: h264 (Constrained Baseline) (avc1 / 0x31637661), yuv420p, 490x360 [SAR 1:1 DAR 49:36], 264 kb/s,     29.97 fps, 29.97 tbr, 30k tbn, 59.94 tbc (default)
    Metadata:
      handler_name    : VideoHandler
    Stream #0:1(eng): Audio: aac (LC) (mp4a / 0x6134706D), 44100 Hz, stereo, fltp, 96 kb/s (default)
    Metadata:
      creation_time   : 2015-12-30T08:17:31.000000Z
      handler_name    : IsoMedia File Produced by Google, 5-11-2011

所以我通过使用以下内容从视频中获取:
ffmpeg -i video.mp4 -vn -acodec copy myaudio.aac

细节到目前为止:
ffmpeg -i myaudio.aac
输出:

Input #0, aac, from 'myaudio.aac':
  Duration: 00:56:47.49, bitrate: 97 kb/s
    Stream #0:0: Audio: aac (LC), 44100 Hz, stereo, fltp, 97 kb/s

之后我把它改成了作品,因为我被告知opus更好
ffmpeg -i myaudio.aac -acodec libopus -b:a 97k -vbr on -compression_level 10 myaudio.opus

信息到目前为止:
opusinfo myaudio.opus

User comments section follows...
    encoder=Lavc58.18.100 libopus
Opus stream 1:
    Pre-skip: 312
    Playback gain: 0 dB
    Channels: 2
    Original sample rate: 48000Hz
    Packet duration:   20.0ms (max),   20.0ms (avg),   20.0ms (min)
    Page duration:   1000.0ms (max), 1000.0ms (avg), 1000.0ms (min)
    Total data length: 29956714 bytes (overhead: 0.872%)
    Playback length: 56m:03.990s
    Average bitrate: 71.24 kb/s, w/o overhead: 70.62 kb/s

我此时已将 myaudio.opus 上传到Google Cloud 端存储 .

curl POST 1
我通过使用 curl 进行POST来开始语音识别:

curl --request POST  --header "Content-Type: application/json" --url 'https://speech.googleapis.com/v1/speech:longrunningrecognize?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}' --data '{"audio": {"uri": "gs://{MY_BUCKET}/myaudio.opus"},"config": {"encoding": "OGG_OPUS", "sampleRateHertz": 48000, "languageCode": "en-US"}}'

回复: {"name": "123456789"} 123456789不是实际值 .

curl GET 1
现在我想得到结果:

curl --request GET --url 'https://speech.googleapis.com/v1/operations/123456789?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}'

这给了我错误: Error : Unable to recognize speech, possible error in encoding or channel config. Please correct the config and retry the request.

所以我将编码配置从 OGG_OPUS 更新为 LINEAR16 .

curl POST 2
再次发帖:

curl --request POST  --header "Content-Type: application/json" --url 'https://speech.googleapis.com/v1/speech:longrunningrecognize?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}' --data '{"audio": {"uri": "gs://{MY_BUCKET}/myaudio.opus"},"config": {"encoding": "LINEAR16", "sampleRateHertz": 48000, "languageCode": "en-US"}}'

回复: {"name": "987654321"}

curl GET 2

curl --request GET --url 'https://speech.googleapis.com/v1/operations/987654321?fields=done%2Cerror%2Cmetadata%2Cname%2Cresponse&key={MY_API_KEY}'

响应:

{
  "name": "987654321",
  "metadata": {
    "@type": "type.googleapis.com/google.cloud.speech.v1.LongRunningRecognizeMetadata",
    "progressPercent": 100,
    "startTime": "2018-06-08T11:01:24.596504Z",
    "lastUpdateTime": "2018-06-08T11:01:51.825882Z"
  },
  "done": true
}

问题是我没有得到实际的转录 . 根据文档,包含数据的响应中应该有一个 response 键 .

因为我有点被困在这里,我想知道我做错了什么 . 我没有任何技术或资源限制因此非常欢迎所有建议!也很乐意改变我的方法 .

提前致谢!干杯

1 回答

  • 0

    Looks like目前仅支持WAV和FLAC . 在本地使用 gcloud 命令,我获得了成功:

    gcloud ml speech recognize-long-running gs://bucket-name/file.flac  --language-code en-US --include-word-time-offsets > my_transcription.json
    

    使用本地文件时出现字节限制错误 . Says you can

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