ASR Contextualisation of Entities
Updated
Overview
Introducing the concept of improving ASR(Automatic Speech Recognition) system accuracy and efficiency through data type hints.
Adding Data Type Hints for Voice Bot
When collecting specific information (e.g., mobile number), provide a data type hint to the ASR system.
Pass a hint like 'numeric' to bias the ASR system towards recognizing numeric values.
Example: Ask customers for their mobile number using the 'numeric' hint to improve extraction accuracy.
Utilizing Language and Entity Values for Keyword Queries
Use language and entity values to enhance the voice bot's understanding of keyword queries.
Create distinct entity values for different color types (e.g., Debit Cards, Visa Cards, Master Cards).
Example: Configure entity values to correctly identify a user's intention to block a debit card when they mention "Visa card.
Biasing ASR System for Specific Keywords
Bias the ASR system to recognize specific keywords or phrases.
Pass relevant keywords to the ASR system to improve recognition accuracy.
Example: Pass "previous month" or "current month" as keywords to facilitate accurate extraction of the desired time frame.