Future of Voice Recognition Technology
Today, voice technology will continue its upward journey in terms of both popularity and adoption. It started from being a part of science fiction, and now it is a valuable asset that is showing no sign of deceleration anytime soon. With the seamless blend of AI and voice assistance we are witnessing a surge in voice-based solutions to the complex problems of customers. This has also set stage for the upcoming businesses to innovate and drive the advancements in this field. Rannkly has curated a few trends and upcoming features which might be visible in the near future. Let's begin.
More focus on any-accent language models
In order to cater to the huge diversity, most Automated Speech Recognition providers have multiple accent packs for their languages. It is expected that these ASR providers will shift towards the concept of one model per language as accents continue to transform and develop further. Brands will be confronted with challenges pertaining to what their product offers to the global audience, in addition to balancing the cost of deploying and operating language packs. As global accents will take centre-stage with wider adoption of voice technology, organisations and ASR firms will have to figure out the best strategy to deliver voice recognition in global application in an efficient manner.
Voice assistants will evolve further to provide more personalised experiences as they continue to learn differentiating between different voices. For example, Google Home has the feature to add up to six users and detect their voices. This provides a lot of scope for customisations to its users. Someone might ask for his To-Do List or What is my schedule today? And the assistant would provide information for individual users. Features like Learn my voice will also allow users to create different speech profiles so that the technology can detect who is giving the command for more customized experiences.
Instagram is also reportedly working on a new feature that will help users keep track of what is being said on a video on its own. This voice note feature is quite similar to how YouTube's live caption work and will be helpful when the accent or audio is not very understandable.
Change in search behaviour
Voice search has been trending since a couple of years. The one thing that is absent from voice assistants is the visual interface. Users cannot see or touch a voice interface if it is not connected to third party app. Search behaviours will witness major changes as a result. As per a research analysis by ComScore, it is estimated that 50% of all search will be via voice technology by the end of 2020.
Voice search technology is all set to change the way how the brands interact with customers. In a recent bid, Facebook has also announced it will pay select users who agree to record their voice to improve its speech recognition technology. The social media giant also intends to pay select users to record snippets of audio through a new programme called Pronunciations.
Spoken Language Translation
Innovation within voice means that the industry will continue to evolve with an expectation that speech recognition accuracy will improve, and features and intelligence will also grow around it.
Imagine in a country like India, where users tend to switch between two languages, the ability to automatically identify a spoken language and enabling transcription could humanize voice tech even more. This optimizes the accuracy of a specific media file or when transcribing in real-time. Transcription and translation features have the potential to add significant value if used together. Audio can be transcribed in one language, translated word for word and then fed into a text-to-speech engine. To reflect a natural output, additional understanding will be required to enable the delivery of a transcribed, translated and machine spoken output that is almost indistinguishable from a natural speaker.
Meanwhile, all this happens let's roll our sleeves and stay at the centre of the action to be an active partner of a digital revolution brought in by the ever-changing voice recognition technology.