Read our latest GUIDE: "Discovering the Possibilities of Voice Assistants on the Edge"
Read our latest GUIDE: "Discovering the Possibilities of Voice Assistants on the Edge"
Natural Language Understanding
Conversational language understanding at the speed of thought.
Easy, intuitive, and intelligent conversations between humans and voice assistants are made possible with Houndify's breakthrough NLU technology. Our patented approach allows voice assistants to engage in conversations the way humans do, by understanding complex and natural conversations in real-time.
Speech-to-Meaning®
Our proprietary Speech-to-Meaning technology tracks speech in real-time and understands the context, even before the user has finished speaking. Instead of the typical two-step process of transcribing speech into text (ASR) and then passing the text into an NLU model, Houndify accomplishes both of these tasks in one step, delivering faster and more accurate results.
Fastest comprehension
Houndify's unique ability to process and understand speech the instant a user stops speaking gives voice assistants the ability to respond faster. Understanding speech in real-time without requiring additional processing or waiting for the user to finish speaking creates responsive and natural conversations between people and products.
Most accurate response
By understanding context, Houndify responds accurately to users by distinguishing between similar words and names. Our NLU can discern the difference between words that sound the same, but have different spellings and meanings. For example, if users want to navigate to Hoch Street in Dayton, it won't look for Hawk Street.
Deep Meaning Understanding®
The key to great voice experiences is the voice assistant's ability to look past the spoken word to understand the user’s intent. Using our proprietary Deep Meaning Understanding technology, your voice assistant can address multiple questions and filter results simultaneously—accurately and quickly answering your users' most complex questions.
Complex and Compound Queries
Houndify's unique approach to NLU allows users to ask multiple questions that contain a complex set of variables, exclusions, and information that must be gathered across domains. For example, users can say:
Context Aware
Eliminate the need to constantly repeat details from your original query. Our advanced Context Aware technology allows your customers to ask follow-up questions without starting the conversation over. Once a user has started a series of requests, we let them modify or build on the conversation without having to repeat the context.
Negations and Double Negations
Double negatives can be confusing, but they are often used in everyday casual speech and intelligent conversational voice assistants must be able to recognize them. Houndify's NLU delivers a deep level of accuracy and understanding even when users ask for things that include negations and double negations.
Complex and Compound Queries
Houndify's unique approach to NLU allows users to ask multiple questions that contain a complex set of variables, exclusions, and information that must be gathered across domains. For example, users can say:
Context Aware
Eliminate the need to constantly repeat details from your original query. Our advanced Context Aware technology allows your customers to ask follow-up questions without starting the conversation over. Once a user has started a series of requests, we let them modify or build on the conversation without having to repeat the context.
Negations and Double Negations
Double negatives can be confusing, but they are often used in everyday casual speech and intelligent conversational voice assistants must be able to recognize them. Houndify's NLU delivers a deep level of accuracy and understanding even when users ask for things that include negations and double negations.
NLU Derived From Speech or Text
Houndify’s NLU is flexible enough to handle either text or speech. Text-based input leverages all the power of Deep Meaning Understanding for accurate results. When the input is spoken, Houndify’s Speech-to-Meaning technology simultaneously combines ASR with NLU using Deep Meaning Understanding to achieve unprecedented speed and accuracy.
Query Glue™
When people speak naturally, they combine many inquiries into a single sentence. Query Glue allows the arbitrary compounding of various pieces of information from distinct data sets. As a result, voice assistants can understand unique combinations of requests uttered in the same sentence, and deliver results without asking multiple follow-up questions or requiring users to adopt stilted language.
Conversational Assistant for Your Brand
Partner with us to integrate a proprietary NLU that allows humans to interact with computers, information, and services the way we interact with each other, by speaking naturally.