Automatic Speech Recognition

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


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

Raw Audio   >   Transcript    >     Insights & Analytics

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

Your content goes here. Edit or remove this text inline or in the module Content settings. You can also style every aspect of this content in the module Design settings and even apply custom CSS to this text in the module Advanced settings.

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. 

Read More

Learn more about voice analytics, leveraging VoiceBase products in your Call Center, and More:

VoiceBase Acquired by LivePerson

VoiceBase Acquired by LivePerson

NEW YORK, Oct. 27, 2021 /PRNewswire/ — LivePerson, Inc. (Nasdaq: LPSN), a global leader in Conversational AI, today announced two major strategic acquisitions: VoiceBase, a leader in real-time speech recognition and conversational analytics; and Tenfold, the world’s most advanced customer engagement platform for integrating communication systems with leading CRM and support services.

read more
Digitizing Voice: A Great Source OF DATA for Organizations to Tap

Digitizing Voice: A Great Source OF DATA for Organizations to Tap

While it might seem mundane, digitizing voice data is essential for downstream advantage. There are significant benefits in gathering, aggregating, analyzing, and leveraging appropriate actions from voice data. There are obvious benefits in customer service, sales management, and compliance. Voice data is an equal tributary in the growing data mesh that organizations are dealing with for now and the future. We are only at the beginning of leveraging voice data, so expect a big push in brand monitoring next.

read more
Predictive Analytics for Strategic Insights

Predictive Analytics for Strategic Insights

Predictive analytics is an advanced form of data mining that leverages machine learning to identify patterns in voice recordings, intuit a speaker’s intent, and predict a future outcome — be it a sale, account cancellation, or one of many customized “X” signals your clients might request.

read more