Voice recognition software assistive technology is a growing trend that COVID-19 has pulled into the mainstream. Consumers have gradually integrated phrases like “Alexa” and “Hey Google” into their daily lives. Speech-to-text recognition has enabled secure, contactless professional communication while assuring workforce safety in the past few years.
But how do you re-open in-person business while maintaining the demand for the global work-from-home setup? This “business versatility” is a primary driver for voice recognition, which often acts as a virtual assistant or task coordinator. Despite that reality, companies may still want to reduce human contact to limit the spread of other diseases.
There are many reasons voice recognition software assistive technology fails in noisy environments. An automated speech recognition (ASR) system must effectively distinguish audio data input from background noise to enable high-performance audio processing. More importantly, noise reduction (NR) technology is key in optimizing voice-controlled solutions in a real-world environment.
Voice recognition software assistive technology permeates nearly all industries, including those operating in rugged environments. This article explores seven markets and describes how voice recognition enhances their post-COVID business.
Voice Recognition Software Assistive Technology in Rugged Industries
Utilities conduct many tasks that promote human contact in the pre-pandemic era. Voice recognition software assistive technology can streamline utility operations while providing a better customer experience. As a result, the pandemic has exploded the demand for smart speakers. Amazon and Google far outpace competitive units, each with a global share above 20%.
This COVID-driven trend has caused utility providers to adapt their customer interfaces to increase speech recognition capability. In addition, utilities have expanded voice recognition software assistive technology to rugged applications. The same dynamic, two-way communication enables homebound consumers to talk to their utilities in the field.
Voice recognition software assistive technology can alert central utility providers with instant updates on service interruptions and on-site safety. In addition, users can tell the utility how an asset performs using only their voice to dictate output readings.
Moreover, enterprises can embed on-demand via voice AI into existing rugged tablets. This allows desk-less workers to navigate freely on the utility pole held only by straps and harnesses. This makes it easy to do a hands-free reference and hold a rugged mobile computer while quickly accessing key information.
Another rugged application for speech recognition is industrial manufacturing. Voice engagement can help users instantly navigate a complex troubleshooting challenge or modify programming or robotic control algorithms.
Voice recognition software assistive technology tools can improve productivity. This can be done by providing workers with on-demand support in their rugged environment. In doing so, this doesn’t cause work interruptions to search on their devices.
Voice recognition likewise allows more accurate performance measurements. This is done by excluding human error in translating visual readings to a written or digital log. Voice accelerates inventory management by accepting a verbal count and automating the re-ordering process.
Another use of this technology is for remote assistance and training. Voice recognition software assistive technology can help to reduce onboarding training time for new workers. By employing custom voice-enabled workflows and interactions, workers can be more efficient.
Transportation & Logistics
Voice recognition can improve the safety of long-haul fleet delivery. This is done by accepting the driver’s commands or questions without distracting their attention from the road. Drivers can inquire about directions or traffic conditions when faced with an issue along their route. This benefit aids not only driver safety but increases delivery throughput by reducing waiting time in traffic.
For logistics, speech recognition can improve efficiency by aiding in order picking in the warehouse or distribution center. Team members can verbally confirm product picking hands- (and eyes- ) free, improving speed, accuracy, and safety.
Voice-activated navigation gives drivers access to a wealth of information and functionality hands-free. They can also use voice commands in their rugged devices to ensure all safety.
Voice recognition software assistive technology can augment an automotive technician’s toolbox with the power of the internet. The user can verbally ask questions through a rugged tablet or similar device during the repair. In turn, they receive support without work interruptions or distractions.
Speech recognition is also integral to autonomous driving. This drives automotive voice technology market projections to nearly $5 million by 2027. Voice recognition allows the “driver” a measure of control over the vehicle while they relinquish the active driving process. Occupants can tune the car’s speed, change destinations, engage in-cabin comfort, or monitor features from anywhere inside the vehicle.
Oil & Gas
O&G is a complicated, large-scale industry rich with opportunities to assure safety and improve production rates.
Voice recognition provides field technicians remote support via a rugged device. The technology can answer questions and deliver real-time information, offering remote support.
In addition, field workers can use speech recognition to inquire or record asset management data to help boost throughput. Voice technology provides safety in oil and gas by expediting calls for help and reducing the need for emergency calls.
Finally, voice recognition can enhance machine control, removing the need for technicians to be physically present in a high-risk area.
Speech recognition has become critical to public safety, enabling law enforcement officers to dictate and record evolving incident reports one time. This approach saves significant time and volume of paperwork that would ultimately become digitized anyway.
Dictating information to voice recognition software completes that task in one step. Implementing voice recognition also saves departments the cost of employing a third-party transcriber. This is a significant benefit for a publicly funded agency.
The voice recognition software exists on rugged field devices, adding enhanced voice recording and analysis in various harsh environments and conditions.
A quick voice command automatically starts a chain of events. Thus, there is no need to tap on the touchscreen or enter information into a rugged MDC. This speech-enabled platform can be further integrated with a departmental computer, such as aided dispatch and records management systems. This gives the officers more foresight in the patrol vehicle.
Like public safety, voice recognition enables speed and accuracy in the field when EMS personnel respond to an emergency call. EMS can describe the situation in the voice recorder while performing CPR or other critical care measures.
ASR software has demonstrated the ability to detect a stroke in patients. This outcome is critical to improving the rate of positive stroke detection. It limits additional/redundant emergency calls and begins patient treatment sooner, which is essential for this time-bound event.
Finally, voice recognition can help in a crime so that the victim can alert the authorities with only their voice. In addition, shortening the period between an emergency call and response would increase the likelihood of quickly capturing the thief.
Like police vehicles, voice recognition could be integrated into Mobile Data Terminals (MDT). This is where EMS operation staff could access and manage the information sent by EMS dispatch staff through voice recognition technology.
Voice recognition software assistive technology had already transformed society before the COVID-19 pandemic. During the lockdown, consumers began buying smart speakers to adopt speech recognition technology at a record pace.
Voice recognition as a tool has also emerged from a primarily home-based utility to permeate—and enhance—rugged industries. This extension is a clear example of how the IoT takes technologies designed for one application and adds them to another.
Some common themes exist in all of the use cases reviewed above. The first is that voice recognition can deliver accuracy, speed, and efficiency. These three factors are usually impossible to achieve as a set.
Speech recognition assures the user of a control measure. This technology plays a more prominent role in various industries (it enables higher technology solutions like autonomous cars).
Finally, voice recognition can apply to rugged devices to expedite work and protect accuracy and safety in the field. Arming field service personnel with technology will improve their effectiveness and keep them safe.