Introduction
The capability to communicate audio via chatbots is thanks to a technology called Speech Recognition, and this is what we'll be talking about in this post. If you're interested and want to learn more about the advantages of this feature for chatbots, keep reading!
What exactly is Speech Recognition?
The past was that the idea of robots helping you with specific tasks was an idea from a movie. However, much faster than we anticipated chatbots were appearing. Then, after a while the chatbots grew and began talking to us and with us. them.
Speech Recognition is a branch of Computer Science and Computational Linguistics. Alongside Speech Recognition, this technology is often referred to in other names such as Speech Recognition, ASR (Automatic Speech Recognition), Computer Speech Recognition as well as Speech to Text (STT).
What is Speech Recognition work?
Like the name suggests, this technology is capable of recognizing voice commands of the user and their conversion to text for processing in the software which uses Audio Dataset.
Two kinds of Speech Recognition:
1. Speaker-dependent
They are systems for speech recognition that require education. In this form of training speech recognition, the user reads text or a loose set of words in order to fill the computers base.
This kind that uses Voice Recognition is more precise because it evaluates the voice of the person that is being analyzed and adjusts the system to recognize that specific voice.
2. Speaker-independent
However they don't require any training. They cannot identify specific voices but rather analyse then translate to text what's been spoken.
A good example of the use of this software is in the telephone application.
The Relationship between Speech Recognition and Artificial Intelligence
Artificial Intelligence, also known as AI is the scientific method that allows machines to complete tasks previously completed by human beings, as well as replicate their thinking process. That is, AI can provide an equivalent of some degree of intelligence to the system.AI is used today in a variety of areas, and, depending on the technology employed, the AI software will take specific actions. Sometimes, the terms are misunderstood, AI and sometimes misunderstood, AI and Machine Learning (ML) are distinct, yet closely similar concepts. Simply stated, Machine Learning is a area of Artificial Intelligence, and it is the method that allows machines to learn without human intervention. To be able to teach a system it has to be fed large amounts of data that allow it to detect patterns and to classify them.
Speech Recognition and AI are connected by Dataset For Machine Learning as well as data processing. As we've already mentioned, Speech Recognition software needs massive amounts of inputs in order for the best performance. This is the point where AI is able to help with the ability to automate these processes. Additionally, there's another an NLP (Natural Language Processing), another branch of AI that allows the process of humans' language. For example, English, Portuguese, Spanish, etc.
Chatbots in comparison to. Vocal bots
Chatbots may be among the easiest methods to witness Artificial Intelligence in action. These chatbots use different the areas of AI which include the ML and NLP for communication with humans. With these tools they are able to comprehend and extract information provided to them in written messages and then respond. Chatbots are automated solutions for service commonly found in different digital communications channels, like companies' website, WhatsApp, Facebook Messenger, etc.
On the other side there are voice bots and, in more common usage, called virtual assistants. Like chatbots, are designed with the aim of automatizing certain tasks, but they have a more personal function. They function as a type of personal assistant, which responds to voice inputs. The most popular examples can be Siri and Alexa.
Each day, more companies introduce their own voice-bots. To summarize the situation, businesses rely on chatbots for automating their processes (internal as well as customer service) and their inputs and outputs consist of written communications. The name may suggest the voice bots are only able to receive instructions from voice, and then respond the same way. They also have an individual role in support.
Speech Recognition the Ears Of Your Chatbot
In order to understand the differences between voice and chatbots is possible to include an additional option that combines both options - voice recognition chatbots or chatbots. As we have mentioned previously, Speech Recognition technology is the mechanism that lets a system transform voice commands and translate the commands into written text. After being translated, the information undergoes the same process that a text message would undergo in the "normal" chatbot.
Similar to providing OCR Datasets the capability to read text on images, it could also provide your chatbot with the capability to listen. If you're curious about the concept behind OCR means, then you may be interested in reading the following piece: OCR Give eyes to your chatbot.
The benefits of Chatbots that Speech Recognition
The users are becoming more enthused and demanding about the technological solutions. If you want it to be like human conversations that is, chatbots as well as voice chatbots must meet the needs and requirements of these same conversations.
Reducing waiting time and getting responses that respond to our questions is two instances of the kind clients expect from you. This can be done via message or via voice. There is nothing worse than having a conversation and receive a response that isn't related with the subject. In these situations you could forward the user to humans through Live Chat.
Find out more about the benefits of having a chatbot as well as Chat Live Chat Here!
Chatbots already bring numerous benefits to your business for example:
- 24/7 availability
- Reduced response time
- Automatization of repetitive processes
- A method of capturing commercial leads
- More satisfied customers and their teams
- Supporting customers and/or employees
However, when it comes to writing and speaking, there is no doubt that speaking is a lot more natural to humans. Because of this, the use of voice commands can take your chatbot up a notch.
Voice chatbots offers you the following advantages:
1) It provides greater "human-like" interactivity
As we've mentioned before that speech is easier to write than speech. This is why communication is more natural and less well-thought out like written messages. This spontaneity can be very beneficial for chatbots, since it expands its knowledge base and boosts its AI by incorporating the many commands it is given.
2) Improves user experience
Businesses are extremely worried about the usability and user experience of their websites and other communication channels. If a chatbot has already dramatically enhanced the user experience browsing your website and you want to make it possible for users to communicate with the chatbot makes it better.
3) Enables multitasking
In addition to the user experience, the voice feature lets the user perform different tasks while asking the chatbot for details. This along with other factors, significantly improves customer satisfaction because they aren't required to stop whatever they're doing in order to talk to the bot.
4) A more inclusive solution
While it's a nil element (thankfully! ) There are those who are illiterate and have a reason why they are not able to write. In addition there are those who have motor impairments that make it difficult to use keyboards or other kinds of devices that are tactile. Voice can be the best option to show that your clients are considered.
GTS With ASR Technology Together Helps You
Global Technology Solutions (GTS) deliver only the best data that can be offered anywhere, we ensure this is the case always by constantly and consistently growing our data, checking the quality at various stages, and vetting whatever data we deliver to you. We collect and provides Data Annotation Services from around the world in diverse languages. Our solutions rely on in-house developed NLP and Machine Learning to meet our requirements and our customers’ needs. This way, we make sure that our customers get the results they want and, if changes are needed, we don’t have to rely on third parties. Besides being quick-to-implement solutions, they’re easily adaptable with any integration the customer wants, including voice functionality.
