Assistive Technology in Education/Speech Recognition Software. Introduction. After an introduction to what speech- to- text is, and what type of software is available, educational applications for their use are provided. Definition. This is the case for most desktop recognition software. Therefore, for most desktop recognition software there is an element of speaker recognition, which attempts to identify the person speaking which helps the software recognize what is being said. Speech recognition is a broad term which means it can recognize almost anybody's speech. An example of this is a call- center system designed to recognize many voices. Voice recognition is a system trained to a particular user, where it recognizes their speech based on their unique vocal sound. According to industry experts, at its inception, speech recognition (SR) was sold as a way to completely eliminate transcription rather than make the transcription process more efficient, hence it was not accepted. It was also the case that SR at that time was often technically deficient. Additionally, to be used effectively, it required changes to the ways physicians worked and documented clinical encounters, which many if not all were reluctant to do. The biggest limitation to speech recognition automating transcription, however, is seen as the software. The nature of narrative dictation is highly interpretive and often requires judgment that may be provided by a real human but not yet by an automated system. Another limitation has been the extensive amount of time required by the user and/or system provider to train the software. Each of these types of application presents its own particular goals and challenges. The program can also be used for the dictation of text so that the user can control their Vista or Windows 7 computer. Programs needing mouse clicks in arbitrary locations can also be controlled through speech; when asked to do so, a . The user speaks the number, and another grid of nine zones is placed inside the chosen zone. This continues until the interface element to be clicked is within the chosen zone. Training could also be completed to improve the accuracy of speech recognition. Microsoft has been involved in research on speech recognition and text to speech. It was also included in Office XP, Office 2. In this article I will talk once more about Windows Speech Recognition and how to benefit from all its advanced configuration options. I will show you how to create. How do I optimize accuracy when using Dragon? The "holy grail" of speech recognition software is high levels of accuracy. Although many factors impact your accuracy. However, prior to Windows Vista, speech recognition was not mainstream. In response, Windows Speech Recognition was bundled with Windows Vista and released in 2. Microsoft Windows to offer fully- integrated support for speech recognition. The application also utilizes Microsoft Speech Recognizer 8. Windows as its speech profile engine. In 2. 00. 8, its previous flagship product, i. Listen, was replaced by Dictate, which is now built around Nuance's licensed Dragon Naturally. Speaking engine. Mac. Speech was established in 1. CEO Andrew Taylor. Its full product line was devoted to speech recognition and dictation. The latest release of Dragon Naturally Speaking is version 1. Recently one of our reader "James" asked us about following. Application name Description Open Source License Operating System Programming Language Supported Language/Note; Simon: Supports Sphinx, HTK, Julius: Yes: GPLv2. E-Speaking offers desktop command and control speech recognition software compatible with and complementary to Windows XP and Windows 2000. A fully functional version. 4 stars "Far and away the most fun speech recognition out there" April 26, 2009. August 2. 01. 0. As with the previous version (1. Windows XP, Vista and 7. Nuance Communications claim these newest versions are faster and 1. As an example, dictated words appear in a floating tooltip as they are spoken, and when the speaker pauses, the program transcribes the words into the active window at the location of the cursor. The software has three primary areas of functionality: dictation, text- to- speech and command input. Not only is the user able to dictate and have their speech transcribed as written text, or have a document synthesized as an audio stream, but they are also able to issue commands that are recognized as such by the programme. In addition, voice profiles can be accessed through different computers in a networked environment, although the audio hardware and configuration must be identical on both machines. James and Janet Baker founded Dragon Systems in 1. At the time, the hardware was insufficiently powerful to address the problem of word segmentation, and Dragon. Dictate was unable to determine the boundaries of words during continuous speech input. Users were forced to pronounce one word at a time, each clearly separated by a small pause. Dragon. Dictate was based on a trigram model, and is known as a discrete speech recognition engine. In 2. 00. 5, Scan. Soft launched a de facto acquisition of Nuance Communications, and rebranded itself as Nuance. These products are among others that Nuance Communications offers through Education licensing at . Further, Nuance offers a variety of software licensing programs such as their Open License Program (OLP) for volume needs. The value is a cost- effectiveness over desktop products through the efficiencies of a business to business relationship. Speech Recognition software is widely available to everyone at a fairly reasonable price. Therefore, teachers need to look at how they can use this type of software to enhance their curriculum. TheINQUIRER publishes daily news, reviews on the latest gadgets and devices, and INQdepth articles for tech buffs and hobbyists. Speech recognition (SR) is the inter-disciplinary sub-field of computational linguistics that develops methodologies and technologies that enables the recognition and. I am working on a college project in which I am using speech recognition. Currently I am developing it on Windows 7 and I'm using system.speech API package which. Here is a complete example using C# and System.Speech for converting from speech to text. The code can be divided into 2 main parts: configuring the. There are number ways that the use of this type of software can improve the education of students. Some of the ways are listed here. Helping Students with Physical Disabilities. Finding ways for these students to do the same activities as other students can take a lot time, and requires that teachers fully understand the limitations of their students. What can be most challenging is keeping in mind that these students still have the same or better mental abilities then the other students in a class. The use of speech recognition software allows students that have little or no motor skills in their arms and hands to be able to produce typed reports, manage software, and perform research with a computer, just like other non- disabled students. Some have problems reading and writing. Although speech- to- text software does not help these students improve their ability to spell, the software allows students to write without worrying about spelling. Having students place their ideas down in writing can help teachers to work with students to improve their grammar. Improving a students' grammar in their writing, helps the student fix the grammar in his/her speech as well. Therefore speech- to- text can be helpful in helping them speed up their writing process. When students that have learning disabilities have attention span issues, sitting down to type a paper can be very difficult, therefore these speech- to- text software can help these students push their writing to new levels. Studies on this individual learning technique show potential, but the software is still not up to the level it needs to be for complete instruction. Current software requires supervision from teachers that can assist students that are having problems. This technology is not new, and it has improved but many of the problems that it faced in the past are still being overcome. Language software is available that can check a student's ability to speak languages. For example, a student learning Spanish can be asked state specific words in Spanish. The computer can then evaluate their ability to speak the words properly. Other ways this software can work is in translate a passage from their first language to Spanish. In this case students can be asked to silently read the passage in their native language then stating to the computer what the phrase would be in Spanish. Finally, the software can speak to the student in Spanish and then evaluate the students response to the original statement to determine if it was correct. In all of these cases, each question would have had to have been programmed into the computer. Although in the future, computers may have the ability to evaluate a students response and then respond back with its own customized response. Although the technology has been around for over 5. Some items that are on the horizon include universal translators that can be used to help with language barriers. At this point speech recognition may become speech understanding. Do you want get up at 5: 3. Although this sounds like science fiction, the possibility for these communications and interpretations are here today, they just need to be merged together. An example of this can be seen in this video where a paper of glasses can be turned into a audio and video recorder and as the author points out eventually these will be able to connect to our smart phones so that we can communicate with our glasses so that an image of our computer screen can appear on the inside of ours glasses and we then can manipulate our desktop environment displayed our glasses through voice commands creating a completely hands free, computer anywhere.
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