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Improving named entity speech recognition accuracy

Nuance

Automatic Speech Recognition (ASR) technology transforms spoken words into text and is a critical component powering many conversational AI solutions. The post Improving named entity speech recognition accuracy appeared first on What’s next. Visit Nuance's What's next blog to see the full content.

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Does Word Error Rate Matter?

SmartAction

Word Error Rate (WER) is a common metric for measuring speech-to-text accuracy of automatic speech recognition (ASR) systems. But what exactly does this metric measure? Understanding different accents and disambiguating homophones go beyond the capabilities of most, if not all ASR systems. Google boasts a WER of 4.9%.

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Understanding Conversational AI Technology

Interactions

On our blog, we talk a lot about the benefits of Conversational AI and Intelligent Virtual Assistants. From better customer experience, to reduced operational costs, to improved agent experience, these technologies can transform your business in so many ways. What is Conversational AI and how does it work?

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The DNA of an Intelligent Virtual Agent

SmartAction

That’s the simplest way to describe them to any time traveler from an age before 1956 who lands in 2021 and is trying to figure out what kind of accent they hear on the other side of the weird tiny computer they’re holding up to their ear as they call into customer service to inquire about their order of Heelys (gasp, shoes, AND skates!

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Going Beyond Listening: The Importance of Understanding in Conversational AI

SmartAction

Although we may have entered the golden age of AI, and the use of AI technologies have become part of our everyday lives, when it comes to mastering the human language, machines still fall short. Why is speech recognition technology so difficult? What you say versus what the ASR hears. That’s simply a fact.

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Delivering personalized user experiences with speaker adapted end-to-end speech recognition

Nuance

A crucial capability of automatic speech recognition (ASR) systems is to cope with variability in speech, caused by various accents, age groups, or other variations in speaking style, as well as noisy environments. Visit Nuance's What's next blog to see the full content. This is a summary.

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Delivering personalized user experiences with speaker adapted end-to-end speech recognition

Nuance

A crucial capability of automatic speech recognition (ASR) systems is to cope with variability in speech, caused by various accents, age groups, or other variations in speaking style, as well as noisy environments. Visit Nuance's What's next blog to see the full content. This is a summary.