Comparison of old and new speech analytics technologies
Posted: Wed Jan 29, 2025 4:55 am
In today's business world, the accuracy and speed of data analysis play a key role in the successful functioning of companies. One of the most important areas of data analysis is speech analytics . Let's take a closer look at the differences between the old technology of speech analytics by keywords and the new technology of LLM (Large Language Models), which is able to recognize meanings and contexts, providing users with significant advantages.
Speech analytics technology based on keywords
Traditional speech analytics technology (imot.io) relied on czech republic mobile database recognizing keywords and phrases in audio recordings of conversations. This method has its advantages and disadvantages.
Advantages of old generation speech analytics:
1. Ease of implementation and low cost: Using keywords to analyze speech did not require complex algorithms and high computing power.
2. Speed of processing: The technology could quickly process large amounts of data, highlighting the necessary keywords and phrases.
Disadvantages of Speech Analytics 1.0:
Speech analytics technology based on keywords
Traditional speech analytics technology (imot.io) relied on czech republic mobile database recognizing keywords and phrases in audio recordings of conversations. This method has its advantages and disadvantages.
Advantages of old generation speech analytics:
1. Ease of implementation and low cost: Using keywords to analyze speech did not require complex algorithms and high computing power.
2. Speed of processing: The technology could quickly process large amounts of data, highlighting the necessary keywords and phrases.
Disadvantages of Speech Analytics 1.0: