Speech Recognition Essay

***These three improvement ideas on building Andy’s phonemic awareness skills are going to allow him to hear how each letter and word is pronounced. These three techniques also allow Andy to hear how others pronounce letters and words. The more he hears, the better he will he hear and speak.

Two hundred and twenty nine male speakers and 207 female speakers in between the ages of five and 18 as well as 29 male speakers and 27 female speakers in between the ages of 25 and 50 participated in the study. Researchers asked the participants to read five different sentences off of a computer screen, and each sentence appeared twice in a session. Younger participants read single words, and if a participant did not know how to read a particular word or sentence, they listened to a recording. The words and sentences were chosen because they consisted vowels

Nowadays, a number of virtual assistants such as Google’s Assistant, Amazon’s Alexa, IBM Watson and Siri of Apple achieve virtual assistant ubiquity and extremely impressive piece of engineering by combining established techniques from fields such as voice recognition and natural language processing. Capabilities generally classified as AI include successfully understanding human speech, competing at a high level in strategic game systems such as chess and Go, autonomous cars, intelligent routine in content delivery networks, military simulations, and controlling complex data. More and more a handful of AI is designed more brilliant, efficient and emotional; therefore, people should be fully awareness and take full advantages of this type of cutting-edge invention because AI is significantly benefitting for society including educations, economies and healthcare systems.

Listening is an important skill for the person who is learning English because in verbal communication we cannot communicate with each other without listening to the speaker’s utterances and understanding them. However, listening is a very demanding and challenging skill for the learners to master. Many students often encounter trouble in listening to foreign people even though they are doing well in the English classroom. According to Rubin (1995:8), “For second/foreign language learners, listening is the skill that makes the heaviest processing demands because learners must store information in short term memory at the same time as they are working to understand the information”. Furthermore, as she explains, “Whereas in reading learners can go over the text at leisure, they generally don’t have the opportunity to do so in listening”. As Broughton and et al (1988:65) claim it appears that listening is a passive skill, and speaking is an active one. This is not really true, since

Voice recognition is a computer application that lets people control a computer by speaking to it. In other words, rather than using a keyboard to communicate with the computer, the user speaks commands into a microphone (usually on a headset) that is connected to a computer. By speaking into the microphone, users can do two things. First, they can tell their computers to execute commands such as open a document, save

Speech Recognition feature is a gift of the advancement in technology in the modern world. Through this technology, you can easily dictate your thoughts anywhere, by just speaking. The voice to text translation software will convert the voice, acoustic signals into the text message, thus offer the facility and reliability to the person using it. The person using voice to text translation feature has to just speak and the software will catch the sound and enter it as text on the computer. This will help people in giving instructions or writing the text at a faster rate and make them save their precious time and energy.

I believe the next frontier for smart phones is voice recognition, and Jeff Hawkins is just the guy to come up with the way to make it happen. Wouldn’t it be great to be able to speak into your phone, and have it tell you next month’s sales forecast from the spreadsheet on your desk? Or, how about having it read to you your e-mail, or give

Automatic speech recognition (ASR) systems are required to deal with various types of words of foreign origin. For example: automated call routing systems or voice-driven navigation systems often process proper names and foreign words that tend to have pronunciations that are difficult to predict~\cite{reveil2010improving}. These

Natural language generation can also be used in some expert systems. Another application is in translation programs. It is probable that many new applications will be developed as natural language programs are refined. The two main issues in natural language generation are determining what to say, and determining how to say it.

Content to-discourse (TTS) tradition changes phonetic data put away as information or content into discourse. It is broadly utilized as a part of sound perusing gadgets for visually impaired individuals now a days .In the most recent couple of years be that as it may, the utilization of content to-discourse change innovation has become a long ways past the incapacitated group to turn into a noteworthy extra to the quickly developing utilization of computerized voice stockpiling for phone message and voice reaction frameworks. Additionally advancements in Speech union innovation for different dialects have effectively occurred.

Design phase are developed with requirement analysis in mind. We focus on voice recognition as a main functional requirement for the proposed system.

1.1.4 Speech recognition [b]: In speech recognition take a sound clip of the person and determine the textual representation of speech.

Analog – Human speech; it consists of continuous signals that vary in strength and quality.

In this paper, a voice guidance system for autonomous robots is proposed as a project based on microcontroller. The proposed system consists of a microcontroller and voice recognition software that can recognize a limited number of voice patterns. The commands of autonomous robots are classified and are organized such that one voice recognition software can distinguish robot commands under each directory. Thus, the proposed system can distinguish more voice commands than one voice recognition processor can.

* Vowel and consonant sounds in English might not be the same as our native language. For example, in English the ‘c’ sound is pronounced as hard as the ‘k’ in Malay language. So, by knowing the sound patterns, we will have the accurate pronunciation of the words in English. Besides that, by learning the sound