speech processing

Speech Processing Course Number: 40967 Semester: 1397-2 - PowerPoint PPT Presentation

Speech Processing Course Number: 40967 Semester: 1397-2 Instructor: Hossein Sameti Room CE706 sameti@sharif.edu Home page: CE courses 2 Speech Processing: Review of DSP Concepts Review of Probability and


  1. Speech Processing

  2. Course Number: 40967  Semester: 1397-2  Instructor: Hossein Sameti   Room CE706  sameti@sharif.edu Home page: CE courses  2

  3. Speech Processing:  Review of DSP Concepts  Review of Probability and Stochastic Processes  Anatomy and Physiology of Speech Production System  Phonemics and Phonetics  Spectrogram Reading  Linear Prediction Analysis  Speech Coding and Compression  Speech Synthesis (Text to Speech)  Speech Quality Assessment (Subjective and Objective)  Speech Recognition (Speech to Text)  Speech Enhancement 3

  4. Speech Processing:  Marking Scheme:  Homeworks (written and programming): 20%  Course Projects: 10%  Quizzes: 15%  Midterm: 25%  Final Exam: 30% 4

  5. Speech Processing:  Text:  Spoken language processing  Huang, Acero, Hon, 2000  Introduction to Digital Speech Processing  Lawrence R. Rabiner and Ronald W. Schafer, 2007  Discrete time processing of speech Signals  Deller,Proakis,Hansen,1993  Fundamentals of speech recognition  Rabiner,Juang,1993  Password for any documents for the course:  40967spring97 5

  6.  وطسرا ‌: تسا قطان ناويح ،ناسنا . 6

  7. Old Speech Synthesizers – Speech organ of Wheatstone, based on a system proposed by Wolfgang von Kempelen in 1791 7

  8. Old Speech Synthesizers (cont ’ d) – Speech organ of Joseph Faber (1830-40) 8

  9. Old Speech Synthesizers (cont ’ d) – Voder demonstrated in 1939 Source: http://www.ling.su.se/staff/hartmut/kemplne.htm 9

  10. More modern labs (ICP lab in Grenoble, France) – Study of the face movements to be included in speech synthesis (and recognition). 10

  11. Communication via Spoken Language 11

  12. Communication via Spoken Language 12

  13. Virtues of Spoken Language Natural: Requires no special training Flexible: Leaves hands and eyes free Efficient: Has high data rate Economical: Communicated inexpensively Expressive: Conveys more than just words Popular/preferred: Verbal-acoustic problem solving Much longer evolution, compared to written language 13

  14. Virtues of Spoken Language  Speech interfaces are ideal for information access and management when:  The information space is broad and complex,  The users are not allowed (or at ease or capable) to use their eyes to read text messages,  The users are technically naive, or  Only telephones are available. 14

  15. Diverse Sources of Constraint for Spoken Language Communication Acoustic: human vocal tract Phonetic: let us pray lettuce spray Phonological: gas shortage fish sandwich Phonotactic: sprachst (german) Syntactic: I am flying to Chicago tomorrow tomorrow I flying Chicago am to Semantic: Is the baby crying Is the bay bee crying Contextual: It is easy to recognize speech It is easy to wreck a nice beach 15

  16. A Conversational System Architecture 16

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