GETTING STARTED
Introduction to AgentAssist
Architecture and Configuration
Glossary
FAQ
Release Notes
Recent Updates
Previous Versions

SET UP AgentAssist
AgentAssist Setup Guide
Sign Up for AgentAssist
Conversation Automation
Automations Board
Create a Bot
Add Multiple Bots
Create Use Cases
Overview
FAQs Setup
Create Dialog Tasks
Welcome Events
LLM and Generative AI
SearchAssist
Agent Coaching
Playbook
Customizing the AgentAssist Widget
Configure Auto Summarization with Custom Dialog Tasks
Feedback Settings
Widget Theming (Layout Customization)

INTEGRATIONS
AgentAssist Integration with Third-Party Applications
Amazon Connect
Amazon Connect with AgentAssist Voice Installation Guide
Amazon Connect with AgentAssist Chat Using Custom CCP
Amazon Connect with AgentAssist – Voice via AWS Third Party Applications
Channels
Voice
Configure Voice Channel
Configure Speech Recognition
Chat
SmartAssist
Configure AgentAssist
Demos
Voice Demo
Chat Demo
Salesforce
OmniChannel
Omni-Channel Configuration - Chat
AgentAssist Configuration - Chat
Genesys CTI
AgentAssist Voice Integration
NICE-CTI
AgentAssist Voice and Chat
AgentAssist Chat
Demos
Voice Demo
Chat Demo
Zendesk
Set up AgentAssist for Zendesk
Genesys
AgentAssist Integration with Genesys - Manual Setup Instructions
Agent AI Integration with Genesys Cloud CX
Set Up AgentAssist for Genesys
Change AgentAssist Bot in Genesys
Integrate Kore.ai Bot on Genesys Cloud CX Messaging
NICE MAX Desktop
Talkdesk
Twilio

AGENT EXPERIENCE
AgentAssist Widget
Bot Override and Automations

ANALYTICS
Conversation Logs
Dashboard
Agent AI ROI Analyzer (Beta)
APIs
Raw Data API v1
Raw Data API v2
Conversation Summary Trigger

Configure Speech Recognition

After you configure the Voice channel, you can personalize the ASR Engine by configuring speech recognition preference and language for speech-to-text conversion. You can also add call control parameters.

Steps to configure or modify the ASR Engine settings:

  1. Sign in to AgentAssist using your credentials.
  2. Click CONFIGURATION > Speech Recognition.
  3. Click Speech Recognition on the ASR engine page.
  4. Select your preference in the Speech Recognition Preference list.

  5. Select your preferred language in the Select Preferred Language list.
  6. Select the language-specific dialect in the Dialect list.

  7. Click the Add button against Call Control Parameters to add a new call parameter. This helps you to control the call flow behavior using the added parameter(s) in the VoiceXML file.

    1. Enter a parameter name and value in the Name and Value fields.

      • Name: Parameter name. For example, continuousASRTimeoutInMS.
      • Value: Parameter value. For example, 6000.

      In the above example, the key name is continuousASRTimeoutInMS, and you can configure the value based on your requirements. If you want the bot to wait for 10 seconds, set the value to 10000. The maximum time frame is up to 60 seconds (as mentioned in the above example).

    2. Click Confirm.
  8. Click Save to complete the process.

The Transcripts section of the AgentAssist widget reflects your language, dialect, and call control parameters selection. The following screenshot is a representation of Japanese language and dialect selection:

Configure Speech Recognition

After you configure the Voice channel, you can personalize the ASR Engine by configuring speech recognition preference and language for speech-to-text conversion. You can also add call control parameters.

Steps to configure or modify the ASR Engine settings:

  1. Sign in to AgentAssist using your credentials.
  2. Click CONFIGURATION > Speech Recognition.
  3. Click Speech Recognition on the ASR engine page.
  4. Select your preference in the Speech Recognition Preference list.

  5. Select your preferred language in the Select Preferred Language list.
  6. Select the language-specific dialect in the Dialect list.

  7. Click the Add button against Call Control Parameters to add a new call parameter. This helps you to control the call flow behavior using the added parameter(s) in the VoiceXML file.

    1. Enter a parameter name and value in the Name and Value fields.

      • Name: Parameter name. For example, continuousASRTimeoutInMS.
      • Value: Parameter value. For example, 6000.

      In the above example, the key name is continuousASRTimeoutInMS, and you can configure the value based on your requirements. If you want the bot to wait for 10 seconds, set the value to 10000. The maximum time frame is up to 60 seconds (as mentioned in the above example).

    2. Click Confirm.
  8. Click Save to complete the process.

The Transcripts section of the AgentAssist widget reflects your language, dialect, and call control parameters selection. The following screenshot is a representation of Japanese language and dialect selection: