Automatic Speech Recognition

How does VoiceBase ASR work and what is the value for enterprise businesses?

TL;DR

In Summary, ASR allows enterprise brands extract valuable data from unstructured conversations and turn it into structured data to inform better business decisions and insights. 

speech to text transcript for analytics

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Q: What Are the Use Cases of ASR?

Enterprise businesses can leverage custom-trained ASR speech analytics engines to develop valuable reporting and analytics capabilities to better understand customer and market insights. 

Some of the top use cases for enterprise brands include: 

  • Optimizing Customer Experience in the Contact Center
  • Scoring, and tagging calls with automated software
  • Tracking Conversions and enabling sales reps with learnings
  • Measuring operational performance and cost
  • Understand key consumer insights
  • Track and measure market insights
  • Lower contact center costs
  • Custom applications

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Q: What is Automatic Speech Recognition?

Automatic Speech Recognition (ASR) is a type of technology that converts spoken words into text. It’s the first step in transforming spoken audio conversations into valuable data for in-depth analysis and decision making. 

Q: How Does ASR Work?

ASR allows computers to detect patterns in audio waveforms and match them with sounds in a specific language, identifying which words were spoken. Simple systems only recognize a small “dictionary” of terms, whereas complex, machine-learning models like those used by VoiceBase can understand millions of spoken words, tone, pitch, emotional context, and other metrics of a conversation. 

Q: What is the underlying technology?

Much of ASR involves Natural Language Processing, or NLP. Natural Language Processing ASR essentially enable us to have “conversations” with computers. 

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