speech recognition (180 Views)
ak New Member
New Member
Posts: 1
Registered: 4 weeks ago
Message 1 of 2 (180 Views)

speech recognition

I have tried running the following code from your website


found here : https://gist.github.com/tylernappy/14d5215823c17f3a6dc52ba1677b9f75


I keep getting the error : getJobAsyncJobStatus transcription = response['document'][0]['content']
KeyError: 'document'


I have seen several other people posting about the exact same issue , with no anwesr. Can someone please clarify this.


# install the official Haven OnDemand Python wrapper: https://github.com/HPE-Haven-OnDemand/havenondemand-python
# pip install havenondemand
from havenondemand.hodclient import *
client = HODClient("APIKEY", "v1")
# params = {'file': 'path/to/file.mp3'} # if using a local file
params = {'url': 'https://www.havenondemand.com/sample-content/videos/hpnext.mp4'} # if using a publicly facing URL
response_async = client.post_request(params, HODApps.RECOGNIZE_SPEECH, async=True)
jobID = response_async['jobID']
def getJobAsyncJobStatus(jobID):
print 'Processing...'
response = client.get_job_status(jobID)
if response == None: # still transcribing...
else: # done trasncribing
transcription = response['document'][0]['content']
print transcription


Level 2
Posts: 7
Registered: ‎06-19-2014
Message 2 of 2 (145 Views)

Re: speech recognition

That example code doesn't work because it is incorrectly checking if the job has completed before attempting to extract the transcription.


The following example code, which is a slightly modified version of another example https://github.com/HPE-Haven-OnDemand/havenondemand-python/blob/master/examples/entityextraction_dem..., shows one way of calling the Recognize Speech V2 API.


Note that you will need to replace "API-KEY" with your actual API key on line 4. If you want to use this with the Recognize Speech V1 API change "v2" on the same line to "v1", rename the "language_model" parameter to "language" and modify the "requestCompleted" function to deal with the different response that is returned.




from havenondemand.hodclient import *
from havenondemand.hodresponseparser import *

hodClient = HODClient("API-KEY", "v2")
parser = HODResponseParser()

# callback function
def requestCompleted(response, **context):
    text = ""
    payloadObj = parser.parse_payload(response)
    if payloadObj is None:
        errorObj = parser.get_last_error()
        for err in errorObj.errors:
            if err.error == ErrorCode.QUEUED or err.error == ErrorCode.IN_PROGRESS:
                # wait for some time then call GetJobStatus or GetJobResult again with the same jobID from err.jobID
                print (err.reason)
                hodClient.get_job_status(err.jobID, requestCompleted)
                text += "Error code: %d \nReason: %s \nDetails: %s\n" % (err.error,err.reason, err.detail)
        items = payloadObj["items"]
        for item in items:
            text += item["text"] + " "
    print (text)

def asyncRequestCompleted(response, **context):
    jobID = parser.parse_jobid(response)
    if jobID is None:
		errorObj = parser.get_last_error()
		for err in errorObj.errors:
			print ("Error code: %d \nReason: %s \nDetails: %s\n" % (err.error,err.reason, err.detail))
        hodClient.get_job_result(jobID, requestCompleted, **context)

paramArr = {}
paramArr["url"] = "https://www.havenondemand.com/sample-content/videos/hpnext.mp4"
paramArr["language_model"] = "en-us"

hodClient.post_request(paramArr, HODApps.RECOGNIZE_SPEECH, async=True, callback=asyncRequestCompleted)


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