Automatic Speech Recognition

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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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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. 

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. 

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