Editing Dragon Dictate (section)

==Impact==

=== Impact ===
Dragon Dictate had significant impacts on the field of speech recognition. First, it was the world's first consumer-oriented, general-purpose voice recognition system. <ref name=":2">[https://folk.idi.ntnu.no/gamback/teaching/TDT4275/literature/juang_rabiner04.pdf Juang, B. H., & Rabiner, L. R. (2005.). ''Automatic Speech Recognition – A Brief History of the Technology Development''.] </ref>  It operates on personal computers, expanding the accessibility of speech recognition technology for individuals who use personal computers <ref>[https://www.totalvoicetech.com/a-brief-history-of-voice-recognition-technology/ Kikel, C. (2022, April 14). History of Voice Recognition Technology. ''Total Voice Technologies''.] </ref>, rather than being restricted to specialized domains, such as in telecommunication and in military (e.g., the speech recognition system Harpy in collaboration with the Advanced Research Projects Agency (ARPA) of the U.S. Department of Defense during the early 1970’s).<ref name=":2" /> 

Secondly, it was among the earliest speech recognition software packages that achieved commercial success, which inspired further research and development in the field. Following the commercial success of Dragon Dictate, Dragon NaturallySpeaking, a continuous speech recognition package, was developed in 1997. It transitioned from recognizing discrete speech to continuous speech. Though there had been s couple of recognizers that recognized normal speech, they were confined by specific domains such as radiology with limited vocabulary. Nevertheless, the Dragon NaturallySpeaking was able to transcribe naturally spoken speech for a broad, general use with a 30,000-word vocabulary.<ref name=":3">[https://www.wsj.com/articles/SB86606292348223000 Mossberg, W. S. (1997, June 12). Dragon Systems Bridges Gaps In Speech-Recognition Software. ''Wall Street Journal''.] </ref> Moreover, the Dragon NaturallySpeaking achieved a Real-Time implementation as fast as at 1.1 times real time with the use of advanced algorithms in combination with clever software optimizations. <ref name=":3" />

=== Applications ===
Dragon Dictate and its successor Dragon NaturallySpeaking has already been used in various commercial sectors including healthcare, business, legal and different areas of disability support. Dragon Medical One, a product by Nuance, is widely utilized in medical transcription and clinical documentation to improve workflow efficiency and alleviate the mental stress of healthcare professionals. Legal professionals, including attorneys, judges, clerks, and paralegals, utilize Nuance's Dragon Legal Anywhere to transcribe legal documents and case notes, thereby enhancing documentation speed. Dragon Dictate is also employed in business and corporates to boost productivity through efficient documentation of meeting details <ref>[https://www.nuance.com/dragon.html ''Dragon Legal Speech Recognition, v16 | Nuance''. (n.d.). Nuance Communications. Retrieved 16 September 2023, from https://www.nuance.com/dragon.html] </ref>. Additionally, it aids individuals with disabilities by offering voice-controlled commands, serving as a viable alternative to typing and handwriting, particularly benefiting deaf patients.<ref>[https://www.cambridge.org/core/journals/journal-of-laryngology-and-otology/article/abs/smartphone-speechtotext-applications-for-communication-with-profoundly-deaf-patients/50F2888D68E35B6259BA435B043B631C Lyall, F. C., Clamp, P. J., & Hajioff, D. (2016). Smartphone speech-to-text applications for communication with profoundly deaf patients. ''The Journal of Laryngology & Otology'', ''130''(1), 104–106.] </ref>

Additionally, Dragon software has applications beyond commercial industries, for example in education and research. Dragon Dictate, in combination with referencing software like Sente, significantly improves research productivity by enabling direct transcription of thoughts through voice to eliminates the need to switch between applications when summarizing articles.<ref>[https://www.tandfonline.com/doi/full/10.1080/00049670.2013.768520 Fassbender, E., & Mamtora, J. (2013). A workflow for managing information for research using the iPad, Sente and Dragon Dictate: A collaboration between an academic and a research librarian. ''The Australian Library Journal'', ''62''(1), 53–60.] </ref> Dragon Dictate can also be used in language teaching for tasks like storytelling, conversation, communicative interactions to aid for learning languages.<ref>[https://www.researchgate.net/publication/342335919_Speech_recognition_in_language_teaching_its_impact_on_teachers_and_students Carrier, M. (2016, June 20). ''Speech recognition in language teaching: Its impact on teachers and students''. ICT for Language learning conference, Florence, Italy] </ref>