'Speech synthesis' presentation slideshows

Physics of Human Voice A New Theory with Applications Research Conference, November 16, 2012

Physics of Human Voice A New Theory with Applications Research Conference, November 16, 2012. C. Julian Chen Department of Applied Physics and Applied Mathematics Columbia University. Outline. The source-filter theory Speech processing based on source-filter theory

723 views • 48 slides

Speech Synthesis

Speech Synthesis. April 14, 2009. Some Reminders. Final Exam is next Monday: In this room (I am looking into changing the start time to 9 am.) I have a review sheet for you (to hand out at the end of class). Exemplar Categorization.

644 views • 46 slides

Parsing

Parsing. What is Parsing?. S ? NP VP NP ? Det N NP ? NP PP VP ? V NP VP ? VP PP PP ? P NP. NP ? Papa N ? caviar N ? spoon V ? spoon V ? ate P ? with Det ? the Det ? a. S. NP. VP. VP. PP. V. NP. P. NP. Det. Det. N. N. the. a. Papa. ate. caviar. with. spoon.

615 views • 41 slides

Word Classes and Part-of-Speech (POS) Tagging

1.08k views • 40 slides

A Mandarin to Taiwanese Min Nan Machine Translation System with Speech Synthesis of Taiwan Min Nan

A Mandarin to Taiwanese Min Nan Machine Translation System with Speech Synthesis of Taiwan Min Nan. Author: Lin, Chuan-Jie and Chen, Hsin-Hsi Source: International Journal of Computational Linguistics and Chinese Language Date:2009/09/07 Reporter: Yeh, Chi-Shan. Agenda.

601 views • 40 slides

BY: PRATIBHA CHANNAMSETTY SHRUTHI SAMBASIVAN

SPEECH RECOGNITION FOR MOBILE SYSTEMS. BY: PRATIBHA CHANNAMSETTY SHRUTHI SAMBASIVAN. Introduction. What is speech recognition? Automatic speech recognition(ASR) is the process by which a computer maps an acoustic speech signal to text. CLASSIFICATION OF SPEECH RECOGNITION SYSTEM. U sers

564 views • 36 slides

Chapter 5

Chapter 5 Input and Output: The User Connection Input vs. Output Users use input devices to provide data to the computer Output devices provide information to the user Input devices Keyboard Function keys Main keyboard Shift, control, Caps lock, tab Numeric keys and status lights

727 views • 32 slides

BILINGUALISM AND DISABILITIES: LEARNING STRATEGIES

BILINGUALISM AND DISABILITIES: LEARNING STRATEGIES. Recent studies and scientific research argue that bilingual children have more tools to solve problems , have an advantage and are more efficient in everyday life.

462 views • 25 slides

The Entertainment Industry Meets Simulation: The Challenge of the Holodeck

The Entertainment Industry Meets Simulation: The Challenge of the Holodeck. Bill Swartout Institute for Creative Technologies University of Southern California. The ICT is intended to serve as a nexus between the simulation and entertainment communities. Institute For Creative Technologies.

726 views • 23 slides

Problems and Prospects in Collecting Spoken Language Data

Problems and Prospects in Collecting Spoken Language Data. Kishore Prahallad Suryakanth V Gangashetty B. Yegnanarayana Raj Reddy IIIT Hyderabad, India Carnegie Mellon University, USA. Outline. Need for digital library of audio and video data Characteristics of spoken language data

511 views • 22 slides

Language Processing: Humans & Computer

Language Processing: Humans & Computer. Psycholinguistics & Computational Linguistics. Lauren Kafka Marina Hamoy August 3, 2006. Psycholinguistics:.

1.53k views • 22 slides

Managing Digital Sound

Managing Digital Sound. Lecture Notes for Chapter 13 in the text Exploring the Digital Domain : An Introduction to Computing with Multimedia and Networking. Digital Sampling of Sound.

395 views • 19 slides

DIGITAL SIGNAL PROCESSING

DIGITAL SIGNAL PROCESSING. SUBMITTED BY:- KARAN KUMAR. Contents. .What is DSP? . What is DSP used for? Speech & Audio processing Image & Video processing Adaptive filtering .DSP Devices and Architectures .DSP at EPSON Scotland Design Centre .Summary & Conclusions. What is DSP?.

805 views • 18 slides

PARAFAC Analysis of 3-D Tongue Shape

PARAFAC Analysis of 3-D Tongue Shape. Yanli Zheng, Mark Hasegawa-Johnson ECE Department University of Illinois at Urbana-Champaign. Part I. Background. WHY is the factor analysis of tongue shape meaningful ? Speech Motor System. Anatomical View Basic Vowel Diagram.

380 views • 17 slides

Named Entity Recognition

Named Entity Recognition. LING 570 Fei Xia Week 10: 11/30/09. Outline. What is NER? Why NER? Common approach J&M Ch 22.1. What is NER?. Task: Locate named entities in (usually) unstructured text Entities of interest include: Person names Location Organization

1.39k views • 16 slides

Vowel Systems

Vowel Systems. Practical Example. Why speech?. Cross-linguistic data available On universals On acquisition On language change This data is relatively uncontroversial As opposed to e.g. syntax. Speech is easy to model. It is a physical signal We can use existing techniques

218 views • 11 slides

Daniel Ainasoja / Stockholm 30 mars 2006

222 views • 10 slides

Parsing

Parsing. Programming languages. printf ("/charset [%s", (re_opcode_t) *(p - 1) == charset_not ? "^" : ""); assert (p + *p < pend); for (c = 0; c < 256; c++) if (c / 8 < *p && (p[1 + (c/8)] & (1 << (c % 8)))) { /* Are we starting a range? */

227 views • 10 slides

Ways to generate computer speech

Ways to generate computer speech. Record a human speaking every sentence HAL will ever speak (not likely) Make a mathematical model of the human vocal tract (synthesis)

265 views • 6 slides

Speech Processing

Speech Processing. Speech Processing:. Text: Discrete time processing of speech Signals Deller,Proakis,Hansen,1993 Fundamentals of speech recognition Rabiner,Juang,1993 Advances in speech signal processing Furui,Sondhi,1991 Home Page: http://ce.sharif.edu/~ce967. Speech Processing:.

364 views • 5 slides