What we know about Speech Recognition:

The milestones that humans achieved, Speech Recognition is one of the latest in those. And We are keep improving and learning about the AI enabled speech recognition every day.

This Speech recognition is empowered using Artificial Intelligence means that AI recognizes the words in the human speech. Then those words are translated into text. It is quite notable that this technology is developed so rapidly and improving more by each day.

Speech Recognition with AI:

Artificial Intelligence as its name suggests mimic the human behaviour. Also learning from its environment, it shows very positive signs of understanding what the speaker (people) is saying. Speech recognition is like an ear to computer and AI enables it to perform the task or analysis of the audio data.

Voice Assistants like Siri, Alexa, uses this feature too in them. This allows us to interact using natural language.

How does it work?

Speech has some complex steps, which are:

1. Recognising the words that the speaker says. This is crucial cause we need to make the computer understand that what the individual words is in our vocabulary.

2. Now the translated words are converted into text. This step makes it easy for the AI to understand the statement or the word. Those words are converted into letters or numbers. They are called phonemes.

3. This step analyses the data. And the meaning of the statement is understood using Artificial Intelligence. The frequent use of terms are compared to determine the true meaning. It is called Predictive Modelling.

4. Now it goes through a process, also known as disambiguation.

Uses:

This AI Models are well trained and nowadays they made interacting with Technology easy and natural more than ever was.

Call Centres:

Speech recognition applications involves popularly in call centres. The appropriate response received according to a caller’s demand or the process requested can all be translated using this AI Voice Recognition.

Voice biometrics can also be done and a good example of Speech Recognition with AI. Thus, it means the verification of identity using face, not like the other traditional methods like fingerprint scan or eye scan or using a password instead using your voice for verifying your identity. This also simply takes away the risk of forgetting passwords.

Banking:

Customer queries have been answered using Speech AI in many Banking and Financial Institutions. Let’s understand it with a fare example. You want to know about your current account balance or something like interest rate applied on your savings account.

This reduces the time required for the customer service representatives to answer the query faster. They would have to also research about the issue, as it can be fastened, responses will be much quicker. Thus, a better customer service.

Telecommunications:

In Telecommunication industry speech recognition just enhanced the whole industry and enabled analysing calls efficient. This helps agents to produce more high-valued work as they can invest their valuable time to focus on important tasks. So, Customers now can interact with business 24/7. Voice messaging makes customers feel more connected and having a great experience.

Healthcare:

Many different areas have many applications of Speech AI. Speech AI helps doctors and nurses to be better while caring for their patients. Smart Devices that can be commanded using Speech Recognition, handled without commanding by any key strokes or hands.

The AI can operate for a patient to communicate with doctors, nurses or also any other healthcare professionals available. Doctors can use this as engaging medium and help the patient understand. It’s much easy reference than pamphlet, or brochure.

Challenges in this Work:

This new rapidly developing technology have its own challenges. Being a developing new tech feature, time cannot be guaranteed for developing a product with availing this. Besides duration of such project, accurate products may be hard to achieve.

You have to get the right tools for analysing the data you have. This may take time and effort because of access to this technology.

Algorithms must be proper. Syntaxes and correct language matter the most for the correct algorithm. Similarly you are required to know how does computer and humans communicate with each other. And still, you can improve your speech recognition artificial intelligence. Make sure that the computer understands your word that you speak.

Speech Recognition Softwares are also needs to be trained on your voice. Similar like humans. As humans hear voice from a new person they meet and they remind the voice next time they come across of that person again.

In fact, for Computers this training of voice model may take long time and careful analysis. Because the computers also have to study each person’s voice and how they all sound different from each other.

Educating yourself and your team members or company employees on the Speech AI Technology is also very important. This will help them to understand that what they are working with and why they are doing it.