Future of Voice Recognition in Artificial Intelligence | Primathon

Future of Voice Recognition in Artificial Intelligence | Primathon

May 14, 2021

The technology of speech communication with devices has become more and more popular. Where products like Amazon’s Echo are one of the highest Voice technology products, predictions of the upgrading of the technology have already been made. The voice recognition assistants can do much more than answering your queries now and based on consumer behavior there are going to be more upgrades coming in technology.

Continues evolution of voice recognition:

Based on user’s demands, there was mass adoption of artificial intelligence and many devices started incorporating voice command technology in it. From the Audrey system launched in 1952 to now produced Alexa and other voice recognition systems, it has been proved to be very convenient to give commands for execution. Brian Roemmele, editor-in-chief of Magazine Multiplex speaks on the topic and said “The last 60 years of computing, humans were adapting to the computer. In the next 60 years, the computer will adapt to us. It will be our voices that will lead the way; it will be a revolution and it will change everything”

AI basic concepts for the development of Voice recognition-

Voice-based Artificial Intelligence that runs on AI and ML models are being developed on new scalable approaches. Companies like Samsung, have already begun with the release of new AI products such as its Family Hub refrigerator. Meanwhile, Google came up with a ‘Speech Analysis Framework’ within Google Cloud to transcribe the voice. With such speedy developments, AI indeed is what influences the future of Voice recognition. For building an enhanced speech recognizer here are few basic AI concepts to understand natural language which are being developed-

  1. PCFG- The probabilistic context-free language is something that deals with formal language theory and phrase structure grammars with aspects of natural language. A lexical PCFG represents the relationship between words so that the sentences are formed easily.
  2. Treebank- It helps in avoiding the grammatical errors incurred during sentence formation. Learning grammar by the unparsed corpus of sentences is possible and self-interpretation takes place via augmented grammar.
  3. Acoustic and Language model development- In the Acoustic model, the sound of words is described while in the Language model comparison of similar-sounding words takes place. For example, when a user says “ceiling” it sounds similar to “sealing” so, both the words are considered in the acoustic model. While comparing both, the ceiling fan sounds more matchable as compared to the sealing fan.  Thus ceiling fans are considered by the language model. The development of such models makes the device smarter to understand human behavior.

In this way, the basic concepts of AI are considered and upgraded to improve the capacity of a device to understand the human voice. 

Future of Voice recognition system:

Voice search assistants have already made their way in controlling our home and every day the progress in this field increases. Here are some predictions made that would be revolutionary in the voice recognition technology field:

1. Voice assistants detect the state of the user: With advanced personalization, assistants will be able to tell the health condition of the user. For example, Pillo, a voice-activated home robot will remind you to take medicines on time or assist you in monitoring your health. Incase of a medical issue like heart beating at an abnormal rate the sensors will detect it and the user will be notified by the assistant.

2. Search behaviors: Voice search along with visual interface will affect search behaviors. As brands might start voice-based ads, the ad revenue will not only go on a rise but also the search results will change. Paid ads and messages is what we will get to see in future.

3.   Privacy upgrade: As voice, assistants collect the user’s data to make it more user-friendly, so security and privacy will be upgraded as well. Google I/O announced that assistants will be able to make bookings like a restaurant or a car, and the payment information has to be secured. So they will get a whole new upgrade.

 4.  Identifies your voice: As per Tyler Schulze, VP of Strategy & Development, Cognitive Engines at Veritone, INC, via spectrogram the analysis assistants will be able to identify a person virtually by recognizing their voice. 

5. Voice cloning- With GPU power development, Voice Recognition System can add emotions to your voice. Once you feed your voice into the system, the speech can be a computer-generated voice, different from the initially recorded one. Then, voice conversion takes place which also clones your voice.

Advancement in VUI:

With Google opening the software development kit to the developers through actions, they can build a voice to make their own product’s tone. Voice User Interface is advancing each day with the development of neural network algorithms. Companies have already started working on VUI to reach out to their customers.

Within a few years, most of the apps will be voice-enabled which will work on the user’s commands. Technology like Natural Language Processing (NLP) is developing to make it easier for assistants to cover up all accents and unwanted noise easily. The future of the digital world will fully depend on Voice recognition,  predicted by big tech companies.

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