文件列表:

LICENSE (1067, 2022-02-17)
azure-custom-speech (0, 2022-02-17)
azure-custom-speech\sampledata (0, 2022-02-17)
azure-custom-speech\sampledata\InsuranceLanguage-Data1.txt (13206, 2022-02-17)
azure-custom-speech\sampledata\b0013.wav (236044, 2022-02-17)
azure-custom-speech\sampledata\test_audio.wav (20206, 2022-02-17)
azure-custom-speech\sampledata\test_audio_stereo.wav (110096, 2022-02-17)
azure-speech-streaming-reactjs (0, 2022-02-17)
azure-speech-streaming-reactjs\common (0, 2022-02-17)
azure-speech-streaming-reactjs\common\images (0, 2022-02-17)
azure-speech-streaming-reactjs\common\images\sampleoutputrealtimetranscription.PNG (71304, 2022-02-17)
azure-speech-streaming-reactjs\common\images\speechstreamingdiagram.PNG (92295, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui (0, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\.env (72, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\.env.desktop (72, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\.env.hosted.microsoft (344, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\.env.hosted.progger (317, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build (0, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\asset-manifest.json (880, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\favicon.ico (3870, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\index.html (2456, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\logo192.png (5347, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\logo512.png (9664, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\manifest.json (492, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\robots.txt (67, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\static (0, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\static\css (0, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\static\css\2.8c0e6b67.chunk.css (167283, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\static\css\2.8c0e6b67.chunk.css.map (526513, 2022-02-17)
azure-speech-streaming-reactjs\front-end-ui\build\static\js (0, 2022-02-17)
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# Call Center Intelligence: Powered by Azure AI This is a sample solution for Call Center Intelligence powered by Azure AI. It shows how Azure AI services could be used both in real-time and batch scenarios for an Intelligent Contact Center. Below diagram depicts key components and Azure services used in this sample solution. ## Contents Outline the file contents of the repository. It helps users navigate the codebase, build configuration and any related assets. | Folder | Description | |-------------------|--------------------------------------------| | [azure-custom-speech](https://github.com/amulchapla/CallCenterIntelligenceAzureAI/blob/master/azure-custom-speech) | Sample data and instructions to create custom transcription model using Azure Speech service (Step 1 in above diagram). This step produces a sample custom speech model. This step also enables speech logging to capture real-time call audio. | | [azure-speech-streaming-reactjs](https://github.com/amulchapla/CallCenterIntelligenceAzureAI/blob/master/azure-speech-streaming-reactjs) | Java Script applications that simulates real-time call intelligence (Step 2 in above diagram). This application also captures audio conversation that could be used in the next step for batch call analytics. | | [call-batch-analytics](https://github.com/amulchapla/CallCenterIntelligenceAzureAI/blob/master/call-batch-analytics) | ARM template file and deployment guide for performing ingestion & batch analytics of calls using various Azure AI services (Step 3 in above diagram). This part of the solution can be used either with data output from step 2 OR using sample call recordings (if you have that). | | [powerbi](https://github.com/amulchapla/CallCenterIntelligenceAzureAI/blob/master/powerbi) | Template files and deployment guide for visualizing call insights using Power BI (Step 4 in above diagram). | ## Prerequisites * An existing [Azure Account](https://github.com/amulchapla/CallCenterIntelligenceAzureAI/blob/master/https://azure.microsoft.com/free/) * Ensure you have [Node.js](https://github.com/amulchapla/CallCenterIntelligenceAzureAI/blob/master/https://nodejs.org/en/download/) installed. Required for `Step 2` only. * Ensure you have [Power BI](https://github.com/amulchapla/CallCenterIntelligenceAzureAI/blob/master/https://powerbi.microsoft.com/en-us/downloads/) installed. Required for `Step 4` only. ## Dependencies This solution is modular and some part of the solution can be used independently and some components depends on other steps to be completed. In summary, real-time and batch call analytics can be used independently. Below is a list of dependencies: * Step 2 depends on Step 1 to be completed. Custom Speech model created in Step 1 is used in Step 2. Step 2 can be used without step 1 with minor code modifications (for advanced users only). * Step 3 and Step 4 can be used independently, if you have sample call recordings. If you don't have sample call recordings, then use Step 2 to simulate business conversations and capture the recording that you could use in this step. ## Getting started Follow the individual instructions for each step of the solution provided within above `Folders`.

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