Using Postman to test Speech & Conversation Analytics APIs

Overview
The Speech Analytics API Bundle provides a REST API interface to accurately transcribe your meetings, phone calls, and other offline meeting recordings and extract speech and conversation insights using Marsview's proprietary AI and NLP models.
Features
Description
Speech-to-text
Marsview Automatic Speech Recognition (ASR) technology accurately converts speech into text in live or batch mode. API can be deployed in the cloud or on-premise. Get superior accuracy, speaker separation, punctuation, casing, word-level time markers, and more. (Supported Language: English)
Speaker Separation
automatically detect the number of speakers in your audio file, and each word in the transcription text can be associated with its speaker
Keywords & Topics
Extract the most relevant topics, concepts, discussion points from the conversation are generated based on each paragraph spoken (Topics by Sentence).
Tone Analysis
Tone Analysis suggests speaker emotion using only audio clues. Sometimes the speaker may show emotions in the tone of the response and this is important to capture to get the overall sentiment/mood of the conversation which cannot be extracted from conventional Lexical Emotion analysis.
Marsview is capable of detecting the following tone in an audio file:
Calm
Happy
Sad
Angry
Fearful
Disgust
Surprised
Emotion Analysis
The Emotion Analysis model will help you understand and interpret speaker emotions in a conversation or text. It is designed to understand human conversation in the form of free text or spoken text and is designed after the emotion wheel.
Marsview is capable of detecting the following Emotions in an audio file:
Anger
Anticipation
Disgust
Fear
Joy
Love
Optimism 
Pessimism
Sadness
Surprise
Trust
Sentiment Analysis
Sentiment Analysis will help you interpret and quantify if the conversation in the audio or text is Positive, Negative, or Neutral.  
Speech/Conversation Type Detection
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.
Action Items Detection
Action Item API detects an event, task, activity, or action that needs to take place in the future (after the conversation). These Action items can be of high priority with a definite assignee and due date or of lower priority with a non-definite due date.
All action items are generated with action phrases, assignees, and due dates to make the output immediately consumable by your CRM or project management tools
Questions & Responses Detection
Automatically identify and detect questions or requests posed during the conversation and also the apt response in the conversation in a consumable form.  The API detects the Question and Response by the speaker.
Extractive Summary
Extractive summarization aims at identifying the salient information that is then extracted and grouped together to form a concise summary.
Screengrabs (Chapter Detection)
Captures keyframes and slides from videos and screen sharing from an online web conference. 
Screen Activity
Identify and analyze the visual aspects of the meeting along with the corresponding timestamps and with Screen Activity API.
Marsview detects the following Screen Activity:
Screen Share 
Interaction 
Whiteboard 
Presentation
 
Using Postman to test Speech & Conversation Analytics APIs
For easy testing using Postman, we provided a Postman Collection for Marsview Speech Analytics APIs. This is a simple 6 step tutorial to quickly test out the Marsview Speech & Conversation Analytics APIs.
The files are available here:
1.​Download Postman ​
2.​Marsview Speech Analytics APIs - Postman 2.1 Collection​
After downloading  Postman and  Marsview's Postman Collection. You canFile > import the collection into Postman to get started.
Step 1: Get your API Key and Secret  
Get your API Key and API Secret by registering to Marsview as a developer.
If you are having trouble registering please contact [email protected] to get your API Key and Secret.
Your API Key and Secret will be in the following format
"apiKey": "xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx" 
"apiSecret": "xxxxxxx-xxxxxxx-xxxxxxx-xxxxxxx"
Step 2: Generate your Access Token 
Set a  New Environment on Postman as shown below, this will ensure all the variables that will be set in further steps in the process are correctly assigned.
Set Postman workspace variables
Click on the  More > Edit
Under the Variables tab set userID ,apiKey  and apiSecret as Workspace variables on Postman as shown below. 
Generate Access Token
Using the API [POST] Get token API you will be able to generate anaccessTokenthat will expire in 1 hour from the time of token generation. You will be able to upload an audio/video file or a file URL using this accessToken
Instruction: Click on[POST]Get token and click onSend
​
 Step 3: Get Transaction ID  by submitting an Audio/Video file
You can upload an Audio/Video File using [POST] Upload file  or use [POST] Upload file url (Recommended) to submit/upload a file URL.
Instruction: Fill in the file details such astitle ,description, link(URL) and click on Send 
You can this as a sample meeting recording URL: https://d1sv72xa22bi8g.cloudfront.net/api-samples/Recruitment+Meeting.mp4​
This will generate a Transaction ID or txnIdwhich is a unique ID generated for a particular file or URL submitted to Marsview.
Step 4: Submit txnID for processing
Each AI model/API  (mentioned in the Overview section) can be configured to get the most accurate results for your use case.  To know more about the configurations go to Speech & Conversation API Overview.
Instruction: For ease of testing, we have preconfigured all the API to default configuration values so all you have to do is go to [POST] Upload request and hit Send
If you have questions on configuration or additional feature request please feel free to contact our developers at  [email protected]
You will see an output JSON as shown below with the status "uploaded"
Step 5: Get Request Status
NOTE: The processing might take a few minutes depending on the time duration of the file uploaded. Example: If a file is 10 min long the process will be completed in 3-5 min. 
[GET] Request Status is used to get the status of the file being processed. The status will go from "uploaded" to "processing" to "completed". If there's an error transcribing your file, the status will go to "error" and there will be an "err"and"msg" key in the response JSON which will contain more information. 
Tip: You can use [GET] Request Status per process to get the status of each AI model separately as well.
Step 6: Get Metadata 
Once the Request Status is set to "completed", you'll see a full JSON response with your transcription text, like this by sending a request to the [GET] MetadataAPI.
Instruction: Click on[GET]Metadata and click onSend
Tip: You can use [GET] metadata Status per process to get the metadata of each AI model separately as well.
Contact Support
Our support team is available to respond to user requests via email at [email protected]
1st Response SLA is less than 24 hours.
Users must reach us by filling out the support form available here with their Full Name, Email Address and a brief description of the problem.
A support engineer shall respond with 2 hours with a support case number.
You can also Book a Call with our engineers.
​

Last modified 1yr ago

Features	Description
Speech-to-text	Marsview Automatic Speech Recognition (ASR) technology accurately converts speech into text in live or batch mode. API can be deployed in the cloud or on-premise. Get superior accuracy, speaker separation, punctuation, casing, word-level time markers, and more. (Supported Language: English)
Speaker Separation	automatically detect the number of speakers in your audio file, and each word in the transcription text can be associated with its speaker
Keywords & Topics	Extract the most relevant topics, concepts, discussion points from the conversation are generated based on each paragraph spoken (Topics by Sentence).
Tone Analysis	Tone Analysis suggests speaker emotion using only audio clues. Sometimes the speaker may show emotions in the tone of the response and this is important to capture to get the overall sentiment/mood of the conversation which cannot be extracted from conventional Lexical Emotion analysis. Marsview is capable of detecting the following tone in an audio file: Calm Happy Sad Angry Fearful Disgust Surprised
Emotion Analysis	The Emotion Analysis model will help you understand and interpret speaker emotions in a conversation or text. It is designed to understand human conversation in the form of free text or spoken text and is designed after the emotion wheel. Marsview is capable of detecting the following Emotions in an audio file: Anger Anticipation Disgust Fear Joy Love Optimism Pessimism Sadness Surprise Trust
Sentiment Analysis	Sentiment Analysis will help you interpret and quantify if the conversation in the audio or text is Positive, Negative, or Neutral.
Speech/Conversation Type Detection	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.
Action Items Detection	Action Item API detects an event, task, activity, or action that needs to take place in the future (after the conversation). These Action items can be of high priority with a definite assignee and due date or of lower priority with a non-definite due date. All action items are generated with action phrases, assignees, and due dates to make the output immediately consumable by your CRM or project management tools
Questions & Responses Detection	Automatically identify and detect questions or requests posed during the conversation and also the apt response in the conversation in a consumable form. The API detects the Question and Response by the speaker.
Extractive Summary	Extractive summarization aims at identifying the salient information that is then extracted and grouped together to form a concise summary.
Screengrabs (Chapter Detection)	Captures keyframes and slides from videos and screen sharing from an online web conference.
Screen Activity	Identify and analyze the visual aspects of the meeting along with the corresponding timestamps and with Screen Activity API. Marsview detects the following Screen Activity: Screen Share Interaction Whiteboard Presentation

Using Postman to test Speech & Conversation Analytics APIs

Overview

Using Postman to test Speech & Conversation Analytics APIs

Step 1: Get your API Key and Secret

Your API Key and Secret will be in the following format

Step 2: Generate your Access Token

Set Postman workspace variables

Generate Access Token

​

Step 3: Get Transaction ID by submitting an Audio/Video file

Step 4: Submit txnID for processing

Step 5: Get Request Status

Step 6: Get Metadata

Contact Support

Step 4: Submit `txnID` for processing