Speech Conversion Using Neural Networks

Artificial Intelligence is the taking over of machines to do tasks that would normally require a human to do. The idea of artificial intelligence has been around for years, appearing in movies and television shows to show what the future might bring. Artificial intelligence is becoming closer to a reality and now society must question if it should have a role in society. Artificial intelligence has many flaws at the moment making it impractical for use until society can address the issues facing it like the loss of jobs and how to control the use of AI.

The objective of the neural network is to transform the input to meaningful output. Neural networks are often used for statistical analysis and data modeling. Neural network has many uses in data processing, robotics, and medical diagnosis [2]. From the starting of the neural network there are various types found, but each and every types has some advantages and disadvantages. Deep learning and -neural network software are the categories of artificial neural network. The parallel process also allows ANNs to process the large amount of data very efficiently. The artificial neural network is built with a systematic

1980-1986. AI is based on the deceptively simple premise that human systems grow in the

SL.10.6 Adapt speech to a variety of contexts and tasks, demonstrating command of formal English when indicated or appropriate.

The purpose of this paper is to bring to light a fresh new perspective of Artificial Intelligence or simply (AI). There have been numerous endeavours to make artificial intelligence which is inclusive of frontiers such as neural network, evolution theory, and so forth, not forgetting that a number of current issues have found solutions in the application of these concepts, the case still remains that each theory only covers a certain isolated aspect of human intelligence. To date, he gap that stands between a human being and an artificial intelligence agent still remains unabridged. In this paper an extrapolated version of artificial intelligence shall be discussed which will be augmented by emotions and the plausibility of inheriting a neural architecture from one generation to the next in a bid to make artificial intelligence to compare to the natural behaviour and intelligence of human

Artificial intelligence is the development of a computer system that is able to perform tasks of human intelligence like visual perception, speech recognition, and decision-making. Computer scientists have made a substantial advancement in the

Neural Network The idea envisaged for the neural network was that of a feed-forward neural network with a hidden layer. This was due to experience and familiarity with them from the Part IB ’Artificial Intelligence’ course. It was necessary to research neural network frameworks in order to

Then the person would need to learn syntax. This means the ability to put these words together in order to make a sentence. For example, the ability to say “Me llamo John”, “My name is John”. Finally, the third part of modelling would be about understanding the mouth movements. Different languages have a

Nowadays, computer systems play a major role in our lives. They are used everywhere beginning with homes, offices, restaurants, gas stations, and so on. Nonetheless, for some, computers still represent the machine they will never know how to use. Communicating with a computer is done using a keyboard or a mouse, devices many people are not comfortable using. Speech recognition solves this problem and destroys the boundaries between humans and computers. Using a computer will be as easy as talking with your friend.

Before a word or even a sound is produced the respiratory and phonatory systems must be activated and set into motion. Respiration which fuels the body is defined as the exchange of gas between an organism and its environment (Seikel, page 35), while Phonation is defined to be the product of vocal fold vibration which occurs within the larynx (Sekiel, page 165). In preparation to breathe, the diaphragm must move inferiorly giving the lungs room to expand. This intake of air must travel a great distance from either the nose or mouth, down through the larynx, and into the trachea, bronchi and, finally, lungs. While simply breathing, the air will travel through the vocal folds which remain in the abducted position. During speech production the vocal folds will adduct causing the air traveling through them to create a rippling effect as the folds vibrate. It is important to note this is merely the beginning stage at this point and that sounds produced at this point would resemble that off

No speech-specific knowledge is used explicitly in the system; hence the method is relatively in sensitive to choice of vocabulary words, task, syntax, and task semantics.

Speech acts can be divided in two categories direct and indirect, depending on words used by the speaker. The aim of this work is to briefly describe their phenomena in the first, theoretical part and to show their practical use in the second

While language or communication can be written, speech communication remains one of the main ways in which human beings express themselves. As such, correct pronunciation of words is essential in effective communication. A breakdown of the pronounced words gives the individual components comprising of consonants and vowels. As such, the understanding of consonants and vowels is critical to the correct pronunciation of any word in any language. This paper focuses on

The ChantSR class simplifies the process of recognizing speech by handling the low-level activities directly with a recognizer

Speech recognition (also known as automatic speech recognition or computer speech recognition) converts spoken words to text. The term "voice recognition" is sometimes used to refer to recognition systems that must be trained to a particular speaker—as is the case for most desktop recognition software. Recognizing the speaker can simplify the task of translating speech.