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Conversation Type (Speech Type)
Enable this model configuration to distinguish between speech type and capture actionable notes during your conversation
Conversation Type (Speech Type) model helps you understand the type of conversation at any given time. Every phone call, online or offline conversation can be broadly classified into four categories - Statement, Command, Action Item, or a Question.
NOTE: You can also enable Action Items & Follow-ups to get more actionable and comprehensive Action Items
NOTE: You can also enable Questions & Responses to get more actionable and comprehensive Action Items
Type | Description |
Statement | a definite or clear expression of something in chat |
Command | an authoritative or peremptory order |
Action Item | a chat worded or expressed regarding an event, task, activity, or action that needs to take place |
Question | a chat worded or expressed so as to elicit information |
Keys | Value |
modelType | speech_type_analysis |
modelConfig | Model Configuration object for speech_type_analysis (No configurations) |
Curl
Python
curl --location --request POST 'https://api.marsview.ai/cb/v1/conversation/compute' \
--header 'Content-Type: application/json' \
--header "Authorization: {{Insert Auth Token}}" \
--data-raw '{
"txnId": "{{Insert txn ID}}",
"enableModels":[
{
"modelType":"speech_to_text",
"modelConfig":{
"automatic_punctuation" : true,
"custom_vocabulary":["Marsview", "Communication"],
"speaker_seperation":{
"num_speakers":2
},
"enableKeywords":true,
"enableTopics":false
}
},
{
"modelType":"speech_type_analysis"
}
]
}'
import requests
auth_token = "replace this with your auth token"
txn_id = "Repalce this with your txn id"
request_url = "https://api.marsview.ai/cb/v1/conversation/compute"
def get_speech_type_analysis():
payload={
"txnId": txn_id,
"enableModels":[
{
"modelType":"speech_to_text",
"modelConfig":{
"automatic_punctuation" : True,
"custom_vocabulary":["Marsview", "Communication"],
"speaker_seperation":{
"num_speakers":2
},
"enableKeywords":True,
"enableTopics":False
}
},
{
"modelType":"speech_type_analysis"
}
]
}
headers = {'authorization': '{}'.format(auth_token)}
response = requests.request("POST", headers=headers, json=payload)
print(response.text)
if response.status_code == 200 and response.json()["status"] == "true":
return response.json()["data"]["enableModels"]["state"]["status"]
else:
raise Exception("Custom exception")
if __name__ == "__main__":
get_speech_type_analysis()
"data": {
"speechType": [
{
"sentence": "Good evening teresa.",
"startTime": 1390,
"endTime": 2690,
"speaker": "1",
"type": "statement",
"confidence": 0.9962469935417175
},
]
}
Field | Description |
speechType | A list of speechType objects |
sentence | A sentence identified by the model in the given time frame. |
startTime | Start time of the sentence in the input Video/Audio in milliseconds. |
endTime | End time of the sentence in the input Video/Audio in miliseconds. |
speaker | Id of the speaker whose voice is identified in the given time frame. |
type | Type of speech in the given time frame. |
confidence | Value indicating the models confidence in the predicted speech type. |
Last modified 2yr ago