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Speech AI is nearly a decade old, but it’s starting to open up new opportunities for manufacturers and service providers across industries. Expanding connectivity options is critical to removing barriers to entry such as cost, privacy, processing power and time to market.
While many brands have recognized voice AI as a solution to their business challenges and are enthusiastically adding it to their product roadmaps, it is difficult to find the right voice technology with the right features to meet user needs. It is important to introduce
If you are one of them, here’s what you need to know.
cloud connection
When we talk about voice assistants in the cloud, we’re talking about voice user interfaces purpose-built to stay up-to-date and access functionality from content domains available over an internet connection. Voice assistants with cloud connectivity are typically accessed from speakers, cars and anywhere users need instant answers to various questions.
Most of the well-known voice assistants work primarily or using the cloud only.
example:
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“What’s the weather like in San Jose?”
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“Is my flight on time?”
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“What’s your recent score?”
edge voice assistant
Speech AI is considered at the edge if it has little or no connectivity to the cloud. Even without cloud connectivity, these voice user interfaces can perform a wide range of functions, provide hands-free access to devices, and deliver a limited set of information to users.
Edge voice assistants offer the highest level of privacy as information is stored on the device and not accessible from the cloud (which is critical for consumer trust). Depending on the use case and the needs of the manufacturer, edge voice assistants can also include more or less natural language understanding (NLU) capabilities that the solution demands.
When the cloud isn’t available, privacy is critical, or device power and cost are limited, intelligent edge voice AI technology gives brands across industries a say. This is especially suitable for small smart devices or devices with limited specific use cases. Small-footprint edge and hybrid voice assistants are emerging as solutions for smart devices, hearables, wearables, wireless headphones, and many other devices in the medical and manufacturing industries.
example:
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“Send a message to Marie”
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“Turn off.”
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“Increase the temperature by 2 degrees”
Hybrid voice solution
In some cases, manufacturers and service providers want their users to have access to the cloud to ensure a consistent voice experience. Hybrid voice assistants offer more device control, personalization, and information gathering capabilities than any other solution.
If device capacity isn’t an issue, OEMs can offer their customers everything from device control to stock prices to flight status, much like car brands do. If your device has low available capacity, you can use cloud connectivity to answer some queries or push product updates without collecting usage data. This allows you to combine the privacy of embedded technology with the long-term benefits of product and voice optimization.
Hybrid solutions enable automakers and other OEMs who don’t want to rely solely on cloud connectivity for hands-free operation of their hardware to provide 24/7 service to their customers. But the use cases are not limited to moving vehicles. In fact, we all have spotty internet connections, even at home. And if voice commands are only used to turn products on/off or determine certain settings, relying solely on the cloud for voice assistant usability may not be the best option.
In fact, if a product or service has a mix of capabilities, not all of them will be optimally delivered by the cloud. A hybrid voice solution makes it easy to deliver features locally that don’t require cloud connectivity, ensuring faster responses without information needlessly traveling to the cloud.
Edge and hybrid solutions include preconfigured questions such as product usage and maintenance records when users interact with devices and when the cloud is unavailable, untrusted, or not required. It also has the advantage of getting a large number of responses.
example:
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“Start wash cycle and order more detergent”
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“Turn on the air conditioner and guide me to the nearest salon.”
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“Play some music and order as usual from Pizza Guys”
technology improvement
In the past, hybrid voice assistants were slow to respond and difficult to access. In some cases, the built-in assistant technology wasn’t the same as cloud-connected voice AI. In another case, reconciliation software that allows voice assistants to access both embedded content and domains in the cloud treats the various content locations as separate entities and, before moving the query to the cloud, uses the embedded voice Wait for a possible response from your assistant. (or vice versa).
The parallel arbitration model now delivers a faster and more accurate voice experience by sending queries and requests to both edge devices and cloud voice AI simultaneously in a hybrid solution. Users are delivered a system that provides the fastest, most accurate answers. Parallel arbitration eliminates the slow response typical of legacy technology solutions and provides a seamless experience for users who are unaware of the source of the response.
make it right
For brands and manufacturers, understanding the end user and knowing their environment, needs and desires is critical in determining which options are right or necessary. The good news is that more choice will allow manufacturers to find the fast, accurate technology that best suits their needs, and in some cases, make high-quality voice control available for the first time.
With consumers embracing voice technology as their next interface, it’s encouraging that every manufacturer and service provider has ample opportunities to create great user experiences.
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