There are 3 repositories under call-center topic.
Amazon Transcribe Live Call Analytics (LCA) Sample Solution
AI-based voice-assisted Contact Center for assisting Farmers for their problems.
TTS and ASR module with auto Voice Active Detecting supported for Freeswitch. I build it for Nature sound interactive, With the embedded LUA engine we could easly build a Freeswtich application like this.
Automate call transcriptions for real-time and previously recorded calls by using custom speech models, text analytics, and industry-specific natural language processing with the Microsoft Call Center Intelligence Accelerator.
A sample callcenter simulator using OpenAI technologies such as ChatGPT, Whisper and other APIs to automate and improve callcenter operation. This project is intended to be a sandbox application to test feasibility and other ideas.
Interact with Five9 Cloud Call Center using Python
全新工作手机paas能力整合,提供全场景客户沟通留存,电话、短信、微信记录api实时查看
Simple call center simulation with SimPy
Create IVR/phone robots/automated telephone applications/call-centers easy
An utility that records the voice heard from an audio devices as text.
Simulation model to run scenarios on staffing/operations readiness for a call center
Predict which customers should a call-center call for greater assertiveness in a sale
Simple Call Center System
This code will set up a contact flow/IVR for real time authentication with Mobile BankID and can be deployed in minutes.
Call center statistics analysis.
This is an Agent Pop Up application to alert the agent with URL/POPUP or URL notification when he/she receives the call.
Allow Agents to change queues via UCCX Api v11.x without admin/supervisor rights
Cisco CTI & Finesse Toolkit for keeping agent downtime to a minimum. Download under Releases
Agent Insights & Call Activity at Your Fingertips. This Power BI dashboard tracks calls answered, answer speed, & customer satisfaction. Built with Power BI & Excel.
This repository supports a project aimed improve the efficiency of United Airlines' call center by predicting call handle times using machine learning. It analyzes factors like customer tone, call reason, and high-volume call times. A Flask web app delivers real-time predictions to enhance agent allocation, operations, and service quality.
Synchronize Five9 and Odoo
Prophet model using the FbProphet library and MLP model using the Cesium library on time series dataset.
This project contains a comprehensive database of various banks in Indonesia, including their names, bank codes, and customer service contact numbers.
Brazilian Portuguese Conversational Speech Data
Urdu Conversational Speech Data
Pushtu Conversational Speech Data
Dari Conversational Speech Data
Spanish Conversational Speech Data
513-Hours-Japanese-Conversational-Speech-Data-by-Telephone
French Conversational Speech Data
88-Hours-Mexican-Spanish-Conversational-Speech-Data-by-Telephone
Indonesian conversational speech data