5 Reasons Why Mobile Voice Technology Is The Next Big Thing

The digital assistance can be tracked down to the times when mobiles phones were introduced with applications. On an average, every 1 out of every 5 smartphones worldwide already had the basic digital assistance features like Siri or Cortana. With every passing year, the figures are nudging up. By the end of 2016, the rise of the voice technology soared up to a remarkable 700%+ and rising. The voice-enabled apps are becoming a rapidly growing business and is all set to dominate the future app market. Here, we will consider how voice technology is changing the traditional way in which the users interact with mobile applications.

1. Ideal For User Input Based Apps

Apart from being rapid and easy to deploy, the speech recognition mobile app development has a lot more to offer. As such in the recent years, people have shown a definite lean towards using the voice technology. This is specially because it makes it easier for the users to interact with apps that require active user inputs like apps for fitness and diet. Instead of manually typing the details, the users can simply convey the data to their smart device. The data is recorded automatically within the concerned application. With the advancement in technology, every app is expected to have this feature.

2. Goes Well With Other Technologies

The mobile voice technology is dependent on other resources. In future, for any technology to be versatile and practical, more attention has to be given to make the technology efficient in Natural Language understanding and processing (NLU/NLP). This is the main aspect for an app to be successful in the coming times. Along with the speech recognition technology, there will also be a close eye on devices with accurate TTS (text to speech) and STT (speech to text) services. This will ensure a better two-way communication between a user with its smartphone and enhance the user experience.

3. Fast-Track App Deployment Technology

There are two models for speech deployment. They are:

• Embedded voice model
• Cloud-driven voice model

Both of these voice tech models are now heavily deployed by mobile app developer in the upcoming applications. In the embedded voice model, the voice recognition happens within the smartphone. Whereas in the cloud-driven voice model, the recognition and deployment process happens on the cloud. Among the two, the latter is getting more popular with the improving internet infrastructure.

4. Collaboration With Wearable Technology

As Apple Watch and Samsung Gear (even Google Glass) are becoming more popular, a high demand for custom voice-enabled applications is to be expected. For instance, the Apple watch has very little screen space. So, it is obvious that having to actually tap on it is a bit hectic and affects the overall user-experience. With voice technology, a user can directly interact with their wearable devices, without making use of the display screens in any way.

5. Real-Time Processing

To make sure that making use of the of voice technology does not put up an extra weight on the smartphone battery and other resources, cloud deployment is used. So, voice commands are transferred directly to the backend server for the conversion. Generation of response and displaying it to the user takes seconds. This puts a lag between a command and its response. In future, working on voice-enabled apps will become a real-time process.