408请求超时Microsoft语音到文本

时间:2016-07-01 07:44:55

标签: speech-recognition speech-to-text microsoft-cognitive

我的.wav文件长度仅为4秒。即使经过多次重试并在云上运行,我仍然会遇到以下错误

  * upload completely sent off: 12 out of 12 bytes
  < HTTP/1.1 408 Request timed out (> 14000 ms)
  < Transfer-Encoding: chunked
  < Content-Type: text/plain
  < Server: Microsoft-IIS/8.5
  < X-MSEdge-Ref: 

有人遇到过这个问题吗? 这是我的要求

  `curl -v "https://speech.platform.bing.com/recognize?
  scenarios=catsearch&appid=D4D52672-91D7-4C74-8AD8-42B1D98141A5&locale=en-  
  US&device.os=wp7&version=3.0&format=json&requestid=1d4b6030-9099-12e0-91e4-
  0800200c9a67&instanceid=1d4b6030-9099-12e0-91e5-0800200c9a68" -H 
  "Authorization: Bearer $1" -H "Content-Type: audio/wav; samplerate=8000" -- 
  data-binary $2`

2 个答案:

答案 0 :(得分:2)

我也遇到了一些问题让它发挥作用。以下BASH脚本&#34; bingrec.sh&#34;可能有助于使其更清晰;输入您的SUBSCRIPTION_KEY&amp;根据需要调整SAMPLERATE等。正如其他人所指出的那样,locale&amp;场景需要设置为支持的值,instance_id和request_id需要采用GUID格式。音频文件的长度应小于10秒,采样率为8000或16000.此外还有卷曲&#34; - 数据二进制&#34;参数需要&#34; @&#34;在音频文件名前面。

#!/bin/bash
#  Usage:  ./bingrec.sh  /path/to/file 
#  Send audio file $1 through Bing speech recognition API.
#
SUBSCRIPTION_KEY=<your-key-here>
LOCALE=en-US
SCENARIOS=ulm
SAMPLERATE=8000
CODEC=audio/pcm

TARGET_FILE=$1
if [ ! -f "$TARGET_FILE" ]; then
  echo Error:  file $TARGET_FILE does not exist!
  exit 1
fi

INSTANCE_ID=`uuidgen`    # random GUID for instance
REQUEST_ID=`uuidgen`     # random GUID for request
APPID=D4D52672-91D7-4C74-8AD8-42B1D98141A5   # APPID for Bing Speechrec API, don't change
DEVICE_OS=linux          # arbitraty
FORMAT=json

AUTH_TOKEN=`curl -v -X POST "https://api.cognitive.microsoft.com/sts/v1.0/issueToken" -H "Content-type: application/x-www-form-urlencoded" -H "Content-Length: 0" -H "Ocp-Apim-Subscription-Key: ${SUBSCRIPTION_KEY}"`

curl -v -X POST "https://speech.platform.bing.com/recognize?scenarios=${SCENARIOS}&appid=${APPID}&locale=${LOCALE}&device.os=${DEVICE_OS}&version=3.0&format=${FORMAT}&instanceid=${INSTANCE_ID}&requestid=${REQUEST_ID}" -H "Authorization: Bearer ${AUTH_TOKEN}" -H "Content-type: audio/wav; codec='${CODEC}'; samplerate=${SAMPLERATE}" --data-binary @${TARGET_FILE}

答案 1 :(得分:0)

我得到了这个工作。有几个问题。一个是语言环境,我改为en-IN。然后scenario = ulm。这似乎已经成功了。我能够非常清楚地发现语音。