Abstract On Artificial Intelligence

Speech is often based on concatenation of natural speech i.e units, that are taken from natural speech put together to form a word or sentence. Concatenative speech synthesis .has become very popular in recent years due to its improved

Speech and language services: This service can support people who have had a stroke and have problems with their speech.

Sundin, K., Jansson, L., & Norberg, A. (2000). Communicating with people with stroke and aphasia: understanding through sensation without words. Journal of Clinical Nursing, 9(4), 481-488.

Ai) People communicate for many different reasons. One of the main reasons that people communicate is to understand each other. Without the ability to communicate nobody would understand what is expected of them and we wouldn’t know the needs of others. People also communicate to share their wants, needs and feelings. In order for us to adequately care for someone we need to know and understand what they expect from us and how they feel about different situations. Without communication we wouldn’t be able to have a conversation therefore wouldn’t know anybody’s likes or dislikes. We communicate to give and receive support and to express our thoughts, ideas and information. By doing all of this we also make and develop

Based on Chapter 2, Neural Network Method (NN) will be chosen for voice-based command recognition method because it can handle bigger databased. For Neural Network to implement pattern recognition is quite common, and beneficial to use is backpropagation. Supervised learning that starts by inputting the training data through the network is a form of this method. When the data is put in the network, it will generate propagation output activations and then propagated backwards through the neural network, and generating a delta value for all hidden and output neuron. The weights of the network are then update by calculated delta values that generate by neural network, which increase the speech and quality of the learning process.

. The second component of this project is the chip that is going to receive the analog signal from the microphone sensor when the person speaks. It is the critical part of this project. The chip that will be proposed in this project called voice recognition 3. This chip has a small flash memory that can save 80 voice commands. However, the maximum number of the voice commands that can work at the same time are 7 voice commands. Any word can by a command (2). However, we must train the module first before let it recognizing any voice command. This chip has two controlling ways. The way that is going to be proposed in this project called serial UART because it is easier to train it and save the commands in the memory. Also, perform the required functions which are “go forward, stop, left, right and reverse”.

Determining the most beneficial augmentative and alternative communication device is a critical component in AAC because it takes time and dedication to teach a client how to use the device as well as teach others around them how to understand. Hypothetically if a SLP were to provide wasted effort the results could have the potential to be devastating because in some circumstances all the client has is little time. Lucky enough for speech language pathologists there are models for assessment that provide guided intervention tactics. Assessment models can be described as feature matching, the participation model, and or the universal design for learning. Typically, feature matching is a quick and easy way to guide assessment because essentially

Traumatic Brain Injury (TBI) accounts for approximately 30% of all injury-related deaths each year in the U.S. (CDC 2015). Survivors experience a range of disabilities that depend on the location and severity of the lesion, including language impairments referred to as Aphasia. Aphasia does not affect a person’s actual intelligence, however, aphasia will affect a person’s ability to use words and to understand others. Aphasia can affect someone’s ability to speak and comprehend, as well as other abilities from the language part of the brain such as reading and writing. The incidence of aphasia is an estimated 80,000 new cases in the U.S per year, and the prevalence of aphasia is approximately 1 million

For some people the level of dysarthria is so high that understandable speech may not be an option. In this case, they learn other methods of communicating. Some people may use alphabet

Imagine a life where someone could not force words to come out of his or her mouth, even if he knew what he wanted to say. Such is the life for people who suffer from Broca’s aphasia. Broca’s aphasia is a speech disorder where the Broca’s area in the brain’s left frontal lobe malfunctions, resulting in the inability for a patient to form the necessary movements of the muscles for speech production. This type of non-verbal aphasia is often referenced as motor aphasia because of the lack of motor skills in the brain for speech production. Thousands of people suffer from this disorder, and as a result communication between these people and society is incredibly difficult. Although each person experiences Broca’s aphasia differently, there are

Speech is not a simple process when it comes to brain functions. A person has to think about what he or she wants to say. Then, those thoughts must be translated into words. Then the brain must command the mouth and throat to form those words and transmit sound.

“Spoken communication plays a major role in displaying the personality of an individual. Based on the effectiveness of this means, the prestige, social status and image can be maintained” (Sangeetha, 2012, p. 329). Fortunately, there are assistive technologies such the alternate and augmentative communication (AAC) Tobii M Series.which helps persons with speech and language impairments communicate effectively and meaningfully within the community, regardless of their literacy and language development. Its versatility tailors to an array of disabled persons of all ages and levels of cognitive and physical ability. It is most suitable for persons with autism, Down syndrome, cerebral palsy, aphasia, and amyotrophic sclerosis (ALS) who have high

Within the past two decades, the number of individuals who use AAC has increased. The use of AAC devices has been known to give a voice to the voiceless, and allow for individuals with disabilities that have restricted their speech, to express their wants and needs as and communicate with their loved ones as well as becoming an active member within society. The stigma around AAC has diminished quite considerably, one of the many reasons that this has occurred is because professionals have gained a better understanding of how to use and improve communications skills with the use of devices as well as the improvement in technology. The primary goal for AAC is to use methods, tools and theories of nonstandard linguistic and nonlinguistic forms of communication, by and with individuals without or with limited functional speech. (Loncke, F., 2014) When considering AAC intervention we need to be mindful that we need to uncover a way to strengthen, use, or rehabilitate the remaining linguistics ability of the individual. The focal point of intervention should on the learning and training of new communication strategies by the client and communication

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.

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.