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A psychoanalytic approach to psychoeducational evaluations
Published in Jed A. Yalof, Anthony D. Bram, Psychoanalytic Assessment Applications for Different Settings, 2020
When possible, Joelle should use assistive technologies for speech to text (STT). Resources include software such as Dragon Naturally Speaking and Microsoft Speech to Text (Ontario Teachers’ Federation, 2020); retrieved from https://www.teachspeced.ca/speech-to-text-programs).
Multilingual College Students with Learning Disabilities/Differences
Published in Maxine Ficksman, Jane Utley Adelizzi, The Clinical Practice of Educational Therapy, 2017
Patricia Mytkowicz, Lynn Abrahams
Exposing students to assistive technologies such as the Kurzweil scanner to assist reading fluency, comprehension, and academic language development: Dragon Naturally Speaking is a speech-to-text software program that can help students write papers. Oral language is often much stronger than written language with ESOL students, another strength to reveal and utilize.
Ten Practical Steps for Slaying the Giant
Published in Harold G. Koenig, Chronic Pain, 2013
Regular times for sleep and relaxation should be included as part of the daily routine, including going to bed at the same time every night and getting up at the same time every morning. A twenty-minute nap in the afternoon after lunch may be beneficial (but before 2:00 p.m. and not for more than thirty minutes). Adaptive devices at work and around the house may take the stress and workload off painful joints. For example, those with painful wrists and fingers due to arthritis should consider obtaining voice-activated computer software that transfers the spoken word onto the screen (I use Dragon Naturally Speaking Preferred as my voice program, which allows me to create documents in Microsoft Word at about sixty words per minute with minimal use of my fingers or wrists). Be creative and find ways to increase functioning.
Artificial intelligence in virtual standardized patients: Combining natural language understanding and rule based dialogue management to improve conversational fidelity
Published in Medical Teacher, 2023
Kellen R. Maicher, Adam Stiff, Marisa Scholl, Michael White, Eric Fosler-Lussier, William Schuler, Prashant Serai, Vishal Sunder, Hannah Forrestal, Lexi Mendella, Mahsa Adib, Camille Bratton, Kevin Lee, Douglas R. Danforth
Accurately transcribing input audio into text is foundational to any high performing conversation system. The ASR system must be accurate, tolerant of background noise, adaptable to varying accents, and relatively fast in the conversion of speech into text. Prior generations of ASR used stand-alone software solutions such as Dragon Naturally Speaking. More modern approaches use cloud-based ASR since the accuracy is generally better and the systems require less user-specific training. Since our long-term goal is to create a multi-platform system that can run on iOS, Windows, and WebGL, we did not evaluate the built-in ASR capabilities of the iPads.
Embracing Neurodiversity in Psychedelic Science: A Mixed-Methods Inquiry into the MDMA Experiences of Autistic Adults
Published in Journal of Psychoactive Drugs, 2019
To enhance empathic understanding of interviewee experiences, within five days after interview sessions concluded, the researcher employed an embodied transcription technique (Brooks 2010), in which the researcher listened to the recording of the interview using a headset and voiced the participant’s responses verbatim. The researcher transcribed interviews simultaneously into Microsoft Word files using Dragon Naturally Speaking 11.0 voice-recognition software and then completed accuracy checks of all interviews by reading transcriptions and comparing them to the complete recordings.