Artificial Intelligence and its Application in Speech Recognition

IAEME PUBLICATION, 2024

AI is a broad field that encompasses various subfields, including machine learning, natural language processing, computer vision, robotics, expert systems, and more. AI systems are designed to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, language translation, and problem-solving.

Artificial Intelligence (AI) for speech recognition involves two basic ideas. First, it involves studying the thought processes of human beings. Second, it deals with representing those processes machines (like computers, robots, etc).AI is behaviour of a machine, which, if performed by a human being, would be called intelligence. It makes machines smarter and more useful, and is less expensive than natural intelligence. Natural language processing (NLP) refers to artificial intelligence methods of communicating with a computer in a natural language like English. The main objective of a NLP program is to understand input and initiate action. The input words are scanned and matched against internally stored known words. Identification of a keyword causes some action to be taken. In this way, one can communicate with the computer in one's language

The Speech is most prominent & primary mode of Communication among of human being. The communication among human computer interaction is called human computer interface (HCI). Speech has potential of being important mode of interaction with computer. The design of Speech Recognition system requires careful attentions to the following issues: Definition of various types of speech classes, speech representation, and the design of Speech Recognition system requires careful attentions to the following issues: Definition of basic model of speech recognition, various types of speech classes, speech representation, approaches to speech recognition and Comparison of human and automatic speech recognition performance.

A Study on Automatic Speech Recognition, 2019

Speech is an easy and usable technique of communication between humans, but nowadays humans are not limited to connecting to each other but even to the different machines in our lives. The most important is the computer. So, this communication technique can be used between computers and humans. This interaction is done through interfaces, this area called Human Computer Interaction (HCI). This paper gives an overview of the main definitions of Automatic Speech Recognition (ASR) which is an important domain of artificial intelligence and which should be taken into account during any related research (Type of speech, vocabulary size... etc.). It also gives a summary of important research relevant to speech processing in the few last years, with a general idea of our proposal that could be considered as a contribution in this area of research and by giving a conclusion referring to certain enhancements that could be in the future works.

Speech recognition has of late beco me a practical technology. It is used in real-world hu man language applications, such as informat ion retrieval. It is the most common means of the communicat ion because the information contains the fundamental role in conversation. Fro m the speech or conversation, it converts an acoustic signal that is captured by a microphone or a telephone, t o a set of words. A cluster of words can either be the final result or it can then apply the synthesis to pronounce into text, wh ich implies speech-to-text. It means that, speech recognition can serve as the input to further linguistic processing to achieve speech understanding.This Paper analysis the types and algorithms of speech recognition.

Speech recognition has always been an accepted and expected feature of futuristic computer systems. From HAL in 2001: A Space Odyssey ("Open the pod bay doors, HAL." "I'm sorry Dave, but I'm afraid I can't do that.") to Lieutenant Commander Data in Star Trek: The Next Generation, authors who write of the future anticipate the day when computers can understand, interpret and follow the spoken words of humans.

Concise Encyclopedia of Applied Linguistics, 2020

Automatic speech recognition (ASR) is an independent, machine-based process of decoding and transcribing oral speech. A typical ASR system receives acoustic input from a speaker through a microphone; analyzes it using some pattern, model, or algorithm; and produces an output, usually in the form of a text (Lai, Karat, & Yankelovich, 2008). It is important to distinguish speech recognition from speech understanding, the latter being the process of determining the meaning of an utterance rather than its transcription. Speech recognition is also different from voice (or speaker) recognition: Whereas speech recognition refers to the ability of a machine to recognize the words and phrases that are spoken (i.e., what is being said), speaker (or voice) recognition involves the ability of a machine to recognize the person who is speaking.

This paper gives brief information regarding Speech Recognition Technology by including various speech parameters, different approaches to speech recognition, basics of acoustic models, language models, complex algorithms and feature extraction techniques. The objective of paper precisely focusses on speech processing and its applicability in technologies like Human-Machine-Interface (HMI) and various day to day life applications.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

Workers were replaced by machines throughout the commercial revolution, sending more people into the service industry. Chatbots and voice assistants, that might offer support to customers or users, square measure currently a part of the digital revolution's assault on this field. Voice assistants (VA) are the type of voice-enabled artificial intelligence (AI). AI refers to some level of intelligence displayed by digital interfaces, or the ability of algorithms to mimic intelligent human behaviour. However, AI refers to "cognitive" functions that we tend to escort the human mind, including problem solving and learning. The counselling response model provides a suitable response by combining the users' input and the emotional status of the user; this can have a consolatory impact which will create the user loaded down with depression feel higher. I.

This paper is based on specific voice recognition by different intelligence system like cortana, siri. This opportunity is provided only for specific user. Its takes voice input from multiple user but its can detect specific user and take input only that user voice search whatever user need.

International Journal for Research in Applied Science & Engineering Technology (IJRASET), 2022

Voice recognition software is a computer program that can understand human speech and convert it into easy-to-read text. Speech recognition software cannot only understand human voice, but also use human voice information to perform tasks more accurately. Daily Speech Recognition software application includes voice activation assistants such as Alexa and Siri that perform simple tasks according to voice commands.

The paper highlights a brief study on speech recognition technology, describing the various processing stages and results and also some primary applications as well. Following this review some of the vital strengths and speech processing steps will also discuss.

International Journal of Creative Research Thoughts (IJCRT), 2023

Speech recognition is the process of converting human sound signals into words or instructions. The research of speech recognition involves many subject areas such as computer technology, artificial intelligence, digital signal processing, pattern recognition, acoustics, linguistics, and cognitive science.Our speech is made up of many frequencies at the same time. The actual signal is really a sum of all those frequencies stuck together. The conversation or speech that is captured by a microphone or a telephone is converted from acoustic signal to a set of words in speech recognition.

A chatbot is artificial intelligence (AI) computer software that can simulate a conversation using textual or audio techniques. The basis of chatbots is artificial intelligence, which analyses a customer's data and blends the answer with them. AI-powered bots can take over a variety of duties since they are considerably more powerful-and can execute numerous tasks at once. Machine Learning methods are mostly employed in the process of comprehending and responding to user input. Natural language processing enables a bot to converse in the most natural manner possible. A balanced blend of innovative technology and human intervention is the optimal user-chatbot connection.