Course Hero has millions of student submitted documents similar to the one
below including study guides, practice problems, reference materials, practice exams, textbook help and tutor support.
Find millions of documents on Course Hero - Study Guides, Lecture Notes, Reference Materials, Practice Exams and more.
Course Hero has millions of course specific materials providing students with the best way to expand
their education.
Below is a small sample set of documents:
Clemson - ECE - 329
Fall 2008 ECE 329 HW #2 In this assignment you will implement a simulated hard disk, which will be stored in a single actual file on the real hard disk. Write a class with the following interface:class SimulatedHardDisk cfw_ public: / number of bytes in
Clemson - ECE - 329
Visual C+ 6.0 Quick GuidePreliminaries Install Visual Studio (which contains Visual C+) from the CD. Ignore the prompt for MSDN, since we do not have the MSDN CDs (Use the on-line MSDN instead). After installing the program, be sure to download and insta
Clemson - ECE - 329
Fall 2008 ECE 329 HW #1 Write a simplified simulated UNIX shell. Your console-based application should support the following commands and syntax: login name logs in user as name (no password required). root should be the default user. For simplicity, limi
University of Texas - CONTRERASM - 03514
Copyright by Maria Andrea Contreras 2005The Dissertation Committee for Maria Andrea Contreras Certifies that this is the approved version of the following dissertation:HISTORICAL EVOLUTION OF ORGANIZATION AND GOVERNANCE DIMENSIONS OF TWO SELECTED COLOMB
Case Western Reserve University - ART - 338
ECES 338 Assignment #3(100 points) Spring 2001 G. OzsoyogluDue: February 22, 2001In this assignment, you will write concurrent programming algorithms with semaphores. Please start the assignment right away, as the algorithms are not trivial. (30 pts) (
Case Western Reserve University - ART - 338
ECES 338 Assignment #2 (100 points)Spring 2001 Prepared by E. Markensohn, B. Karas and B. CoateDue: February 15, 2001In this assignment, you will work with pipes. For pipes, please read chapter 5 of the Unix textbook. (1) Unnamed Pipes: Write a C progr
SUNY Stony Brook - CSE - 509
This paper, copyright the IEEE, appears in IEEE Symposium on Security and Privacy 2004. IEEE Computer Society Press, May 2004. This paper previously appeared as Johns Hopkins University Information Security Institute Technical Report TR-2003-19, July 23,
SUNY Stony Brook - CSE - 509
EfficientRobert Wahbe StevenSoftware-BasedLucco ThomasFaultIsolationSusan L. GrahamE. AndersonComputer University Berkeley,ScienceDivisionof California CA 94720AbstractOne way1to provide fault isolation among cooperating modules is to place
SUNY Stony Brook - CSE - 509
TURING AWARD LECTUREReflections on Trusting TrustTo what extent should one trust a statement that a program is free of Trojan horses? Perhaps it is more important to trust the people who wrote the software.KEN THOMPSONINTRODUCTION I thank the ACM for
Ball State - HIST - 415
Dr. Michael Wm. Doyle Department of History Burkhardt Bldg. 213 Ball State University Muncie, IN 47306-0480Office Phone: 765-285-8732; Fax: 765-285-5612 E-Mail: mwdoyle@bsu.edu Home Page: http:/www.bsu.edu/classes/doyle/hist415 Office Hrs.: Wed., 2:00-4:
Maine - ECE - 478
PIC16C84EEPROM Memory Programming SpecicationThis document includes the programming specications for the following devices: PIC16C84Pin DiagramPDIP, SOICRA2 RA3 RA4/T0CKI MCLR VSS RB0/INT RB1 RB2 RB3 1 2 3 4 5 6 7 8 9 18 17 16 15 14 13 12 11 10 RA1
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 18: EmotionIn the last 20 years A huge body of research on cognition and emotion Just one quick pointer: Ekman: basic emotions:DisgustAngerSadnessHappinessSlide from
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 17: DisfluenciesOutline Disfluencies Characteristics of disfluences Detecting disfluencies MDE bakeoff FragmentsDisfluenciesDisfluencies: standard terminology (Levelt)
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 18: EmotionIn the last 20 years A huge body of research on cognition and emotion Just one quick pointer: Ekman: basic emotions:DisgustAngerSadnessHappinessSlide from
Stanford - CS - 224
<?xml version="1.0" encoding="UTF-8"?> <Error><Code>NoSuchKey</Code><Message>The specified key does not exist.</Message><Key>08d59304407b1f77654d94e02d5b37cb7acefb39.ppt</Key><RequestId>8 25013A94D3A217E</RequestId><HostId>ilnONyBzB4xFzUwgCt1bXjIAWNRShwTs
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 16: Variation and AdaptationOutline Variation in speech recognition Sources of Variation Three classic problems:Dealing with phonetic variation triphonesSpeaker differe
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 16: Variation and AdaptationOutline Variation in speech recognition Sources of Variation Three classic problems: Dealing with phonetic variation triphones Speaker diffe
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 15: ASR: Search (Lattices, N-best lists, A*, etc) and Scoring (sclite)Evaluation How to evaluate the word string output by a speech recognizer?Word Error Rate Word Error
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 14: Dialogue: MDPs and Speaker DetectionOutline for today MDP Dialogue Architectures Speaker RecognitionNow that we have a success metric Could we use it to help drive l
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 14: Dialogue: MDPs and Speaker DetectionOutline for today MDP Dialogue Architectures Speaker RecognitionNow that we have a success metric Could we use it to help drive l
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 13: Dialogue: Information State Systems and Dialogue Act InterpretationOutline Natural Language Understanding Natural Language Generation Information-State ModelsDialogue
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 13: Dialogue: Information State Systems and Dialogue Act InterpretationOutline Natural Language Understanding Natural Language Generation InformationState Models Dialogue
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 12: Dialog Part I: Human conversation, frame-based dialogue systems, and VoiceXMLOutline The Linguistics of Conversation Basic Conversational AgentsASR NLU Generation Dia
Stanford - CS - 224
CS 224S/LING 281 Speech Recognition, Synthesis, and DialogueDan Jurafsky Lecture 12: Dialog Part I: Human conversation, framebased dialogue systems, and VoiceXMLOutline The Linguistics of Conversation Basic Conversational Agents ASR NLU Generation Dia
Stanford - CS - 224
CS 124/LINGUIST 180: From Language to InformationDan Jurafsky Lecture 3: Intro to Probability, Language ModelingIP notice: some slides for today from: Jim Martin, Sandiway Fong, Dan KleinOutline Probability Basic probability Conditional probability
Stanford - CS - 224
CS 124/LINGUIST 180: From Language to InformationDan Jurafsky Lecture 3: Intro to Probability, Language ModelingIP notice: some slides for today from: Jim Martin, Sandiway Fong, Dan KleinOutline Probability Basic probability Conditional probability
Stanford - CS - 224
CS 224S / LINGUIST 281 Speech Recognition, Synthesis, and Dialogue Dan JurafskyLecture 10: Acoustic ModelingIP Notice:Outline for Today Speech Recognition Architectural Overview Hidden Markov Models in general and for speech Forward Viterbi Decoding
Stanford - CS - 224
CS224S/LINGUIST281 SpeechRecognition,Synthesis,and Dialogue DanJurafskyLecture9:FeatureExtractionandstartofAcoustic Modeling(VQ)IPNotice:OutlineforToday SpeechRecognitionArchitecturalOverview HiddenMarkovModelsingeneralandfor speech Forward ViterbiDe
Stanford - CS - 224
CS 224S / LINGUIST 281 Speech Recognition, Synthesis, and Dialogue Dan JurafskyLecture 6: ForwardBackward (BaumWelch) and Word Error RateIP Notice :Outline for Today Speech Recognition Architectural Overview Hidden Markov Models in general and for spe
Stanford - CS - 224
CS 224S / LINGUIST 281 Speech Recognition, Synthesis, and Dialogue Dan JurafskyLecture 6: Waveform Synthesis (in Concatenative TTS)IP Notice: many of these slides come directly from Richard Sproat's slides, and others (and some of Richard's) come from A
Stanford - CS - 224
CS 224S / LINGUIST 281 Speech Recognition, Synthesis, and Dialogue Dan JurafskyLecture 5: Intro to ASR+HMMs: Forward, Viterbi, Word Error RateI P Noti ce:Outline for Today Speech Recognition Architectural Overview Hidden Markov Models in general and f
Stanford - CS - 224
CS 224S / LINGUIST 281 Speech Recognition, Synthesis, and Dialogue Dan JurafskyLecture 5: Prosodic Processing for TTSIP Notice: many of the slides in the first half come from two lectures of Jennifer Venditti on intonation (thanks!); lots of other info
Stanford - CS - 224
CS 224S / LINGUIST 281 Speech Recognition, Synthesis, and Dialogue Dan JurafskyLecture 5: Prosodic Processing for TTSIP Notice: many of the slides in the first half come from two lectures of Jennifer Venditti on intonation (thanks!); lots of other info
Stanford - CS - 224
CS 224S / LINGUIST 281 Speech Recognition, Synthesis, and Dialogue Dan JurafskyLecture 4: Intro to Festival; rest of Text Normalization; LettertoSoundIP Notice: lots of info, text, and diagrams on these slides comes (thanks!) from Alan Black's excellent
Stanford - CS - 224
CS224S/LINGUIST281 SpeechRecognition,Synthesis,and Dialogue DanJurafskyLecture 2: TTS: Brief History, Text Normalization and Partof-Speech TaggingIPNotice:lotsofinfo,text,anddiagramsontheseslidescomes(thanks!)fromAlan BlacksexcellentlecturenotesandfromR
Stanford - CS - 224
CS 224S / LINGUIST 281 Speech Recognition, Synthesis, and Dialogue Dan JurafskyLecture 2: TTS: Brief History, Text Normalization and Partof-Speech TaggingIP Notice: lots of info, text, and diagrams on these slides comes (thanks!) from Alan Blacks excell
Stanford - CS - 224
CS 224S / LINGUIST 281 Speech Recognition and Synthesis Dan Jurafsky Lecture 2: Acoustic Phonetics1/5/07Outline for today Acoustic Phonetics Speech waveforms F0, pitch, intensity Spectra Waves, sound waves, and spectra (Informally! We'll see it with
SUNY Stony Brook - CHE - 322
Organic Chemistry Undergraduate TA Application FormI. Applicant's Information: Student's name (Print, please) _ Academic level (circle one) Sophomore Junior Senior SOLAR ID _ Other _Major _ When did you take CHE 321*? _ When did you take CHE 322 (or CHE
Yale - ECON - 00134
26To Tax or Not to Tax: Alternative Approaches to Slowing Global WarmingWilliam D. NordhausHow can countries best coordinate their policies to slow global warming? This study reviews different approaches to the political and economic control of global
Maryville MO - CVE - 579
University of Rhode IslandDepartment of Civil and Environmental EngineeringCVE 682 Advanced Geotechnical Engineering II (CVE 579 Soil Behavior) Fall Semester, 2005 Instructor: Office: Phone: E-mail: Office Hours: Chris Baxter 207A Bliss Hall, 211 Sheets
Jefferson Community and Technical College - ET - 234
A+ Guide to Hardware, 4eChapter 1 Hardware Needs Software to WorkObjectives Learn that a computer requires both hardware and software to work Learn about the many different hardware components inside of and connected to a computerA+ Guide to Hardware,
Penn State - AFD - 123
GEOG 586: Andrew Davis Week 8:This weeks lesson dealt with dealt with the concept of Spatial Autocorrelation in greater detail than it was in the earlier readings. We explored a data set dealing with census data in Auckland New Zealand and looked at the
Penn State - AFD - 123
Andrew Davis GEOG 586: Quarter Long Project Asthma Populations and Ground Level Ozone Prince Georges County Maryland 2000-2005Background and Topic:As a young child between the ages of ten to fourteen years old I had a particularly hard time with Childho
Oregon State University - ECE - 474
Oregon State University - ECE - 474
Oregon State University - ECE - 474
Oregon State University - ECE - 474
Oregon State University - ECE - 474
Oregon State University - ECE - 474
Georgia Tech - CS - 6660
%!PS-Adobe-2.0 %Creator: dvipsk 5.58f Copyright 1986, 1994 Radical Eye Software %Title: x1.dvi %Pages: 6 %PageOrder: Ascend %BoundingBox: 0 0 612 792 %DocumentFonts: CMBX12 CMR10 CMTT10 %EndComments %DVIPSCommandLine: dvips -Pdistill -f x1.dvi %DVIPSParam
Susquehanna - BIOL - 010
Dietary Guidelines for Americans 2005U.S. Department of Health and Human Services U.S. Department of Agriculture www.healthierus.gov/dietaryguidelinesiMESSAGE FROM THE SECRETARIESWe are pleased to present the 2005 Dietary Guidelines for Americans. Thi
UMass (Amherst) - BIOL - 497
Ecology, 85(2), 2004, pp. 519530 2004 by the Ecological Society of AmericaUSING A GENERALIZED VEGETATION MODEL TO SIMULATE VEGETATION DYNAMICS IN NORTHEASTERN USATHOMAS HICKLER,1,4 BENJAMIN SMITH,1 MARTIN T. SYKES,1 MARGARET B. DAVIS,2 SHINYA SUGITA,2 A
Penn State - CHEM - 112
Chemistry 13 Final Exam Form A Summer 2006Name Section Student No._ _ _CHEMISTRY 13 FINAL EXAM Summer 06 FORM A-1. What is the oxidizing agent in the reaction below which occurs in dry cell batteries? Zn (s) + 2NH4+ (aq) + 2MnO2 (s) A. Zn (s) B. NH4+
Penn State - CHEM - 112
Chem 13 Summer 2006 Exam 3 6/14/06 Answer KeyForm A 1. E 2. C 3. B 4. C 5. D 6. A 7. B 8. C 9. D 10. B 11. C 12. C 13. A 14. E 15. B 16. C 17. A 18. D 19. C 20. D 21. E 22. B 23. D 24. E 25. D Form B 1. E 2. D 3. A 4. D 5. B 6. A 7. C 8. E 9. D 10. D 11.
Penn State - CHEM - 112
Chemistry 13 Exam III Form A Summer 2006Name Section Student No._ _ _IMPORTANT: On the scantron (answer sheet), you MUST clearly fill your name, your student number, section number, and test form (white cover = test form A; yellow cover = test form B).
Penn State - CHEM - 112
Chemistry 13 Exam II Form A Summer 2006Name Section Student No._ _ _CHEMISTRY 13 EXAM 2 Summer 06 FORM A-BASIC SKILLS -1. What is the pH of a solution made by mixing 18.3ml of 0.0340M HI(aq) with 14.3ml of 0.0570M HBr(aq)?IMPORTANT: On the scantron (
Penn State - CHEM - 112
Chem 13 Summer 2006 Exam 1 5/22/6 Answer KeyForm A1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. 20. 21. 22. 23. 24. D A A A C A A E C B A B C A D D B C A E B A C CForm B1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18
Penn State - CHEM - 112
Chemistry 13 Exam I Form A Summer 2006Name Section Student No._ _ _CHEMISTRY 13 EXAM 1 Summer 06 FORM A-1. A reaction was found to be second order in carbon monoxide concentration. What happens to the rate of the reaction if the concentration of carbo
University of Hawaii - Hilo - PHIL - 110
Just cut and paste or copy and paste into your work.
Oakland University - XSOC - 63992
Table 1: Cumulative Normal Probabilitiesz 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10 0.11 0.12 0.13 0.14 0.15 0.16 0.17 0.18 0.19 0.20 0.21 0.22 0.23 0.24 0.25 0.26 0.27 0.28 0.29 0.30 0.31 0.32 0.33 0.34 F(z) 0.50000000 0.50398936 0.50797831
Oakland University - XSOC - 63992
Appendix E: Tables[Microsoft Excel clones of Hays, 4th edition, Appendix E]Appendix E: Tables - Page 1Table 1: Cumulative Normal Probabilitiesz 0.00 0.01 0.02 0.03 0.04 0.05 0.06 0.07 0.08 0.09 0.10 0.11 0.12 0.13 0.14 0.15 0.16 0.17 0.18 0.19 0.20 0.