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Speech Writing Courses

LC LD3320 ASR Non-specific Speech Recognition Module w/ Microphone / Source Crystal - Blue + Silver

LC LD3320 ASR Non-specific Speech Recognition Module w/ Microphone / Source Crystal - Blue + Silver

Brand LC Model LD3320 ASR Quantity 1 Color Blue + silver Material PCB board Specification On-board LD3320 speaker independent speech recognition (SI-ASR:Speaker-Independent Automatic Speech Recognition) speech recognition / technology voice chipl; Main control MCU on chip operation through reading and writing the chip internal registers finish. Through setting up and read the memory can easily complete set of speech recognition list start the speech recognition recognition result is obtained playing the function of MP3; The chip has prepared A 16-bit A/D converter 16 bits D/A converter and amplifier circuit. A microphone stereo headset and speaker can be conveniently and chip pin connection. Stereo headphone jack to 20 mw output power and the output of the speaker interface power is 550 mw can produce a loud and clear voice; Support parallel interface and serial interface SPI two connection methods serial method can simplify the connection with other modules; Support for MP3 function without periphery auxiliary components main control MCU MP3 data in turn into LD332X chip internal can output sound from the chip D/A PIN Features Through the rapid and stable optimization algorithm complete independent speech recognition users do not need prior training and recording also does not need any machine in the PC software Application Does not require any external auxiliary Flash chip RAM chip and AD chip can complete the function of speech recognition and really provides a single chip solution for speech recognition English Manual/Spec Yes (E-file) Packing List 1 x Non-specific speech recognition module Manual: http://m5.img.dxcdn.com/CDDriver/CD/sku.234560.rar

Patrick Bahls Student Writing in the Quantitative Disciplines. A Guide for College Faculty

Patrick Bahls Student Writing in the Quantitative Disciplines. A Guide for College Faculty

Designing interesting problems and writing assignments is one of the chief tasks of all teachers, but it can be especially challenging to translate and apply learning theory, good teaching techniques, and writing assignments into STEM and other quantitative disciplines. Student Writing in the Quantitative Disciplines offers instructors in math-based disciplines meaningful approaches to making their coursework richer and more relevant for their students, as well as satisfying institutional imperatives for writing curricula. This important resource provides instructors with the hands-on skills needed to guide their students in writing well in quantitative courses at all levels of the college curriculum and to promote students' general cognitive and intellectual growth. Comprehensive in scope, the book includes: Ideas for using writing as a means of learning mathematical concepts Illustrative examples of effective writing activities and assignments in a number of different genres Assessment criteria and effective strategies for responding to students' writing Examples of ways to help students engage in peer review, revision, and resubmission of their written work «Those of us who spend our lives urging faculty in all disciplines to integrate more writing into their courses have wished for the day when someone like Patrick Bahls would step forward with a book like this one.»—Chris M. Anson, University Distinguished Professor and director, Campus Writing and Speaking Program, North Carolina State University «Written by a mathematician, this readable, theoretically sound book describes practical strategies for teachers in the quantitative sciences to assign and respond to students' writing. It also describes numerous approaches to writing that engage students in disciplinary learning, collaborative discovery, and effective communication.»—Art Young, Campbell Professor of English emeritus, Clemson University «Loaded with practical advice, this timely, important, and engaging book will be an invaluable resource for instructors wishing to bring the benefits of writing-to-learn to the quantitative disciplines. As a mathematician thoroughly grounded in writing-across-the-curriculum scholarship, Bahls brings humor, classroom experience, and pedagogical savvy to a mission he clearly loves—improving the quality of student learning in math and science.»—John C. Bean, professor, Seattle University, and author, Engaging Ideas


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