MOTOROLA Project 2004 Current members Prof. John G. Harris Dr. Mark D. Skowronski Meena Ramani, Ph.D. student Harsha Sathyendra, Ph.D. student Ismail Uysal,

Slides:



Advertisements
Similar presentations
Karen Downs and Regina Kiperman-Kiselgof National Technical Institute for the Deaf Center on Employment.
Advertisements

Revised estimates of human cochlear tuning from otoacoustic and behavioral measurements Christopher A. Shera, John J. Guinan, Jr., and Andrew J. Oxenham.
Speech Coding Workshop 2000 Jean-Marc Valin, Roch Lefebvre 1 IEEE Speech Coding Workshop Sept 17–20, 2000 Lake Lawn Resort Delavan, WI Jean-Marc Valin,
NENA 2008 Breakout Session Template
Technology Assistance for People with Hearing Loss.
Advanced Speech Enhancement in Noisy Environments
How ClearOne Microphone Technology Improves Speech Recognition Results SpeechTEK 2007 Kurt Olsen Director of Product Marketing ClearOne.
Geneva, Switzerland, 24 October 2013 Wireless connections for hearing aids Dr. Marcel Vlaming, Technical Coordinator European Hearing Instrument Manufacturers.
Speaking Style Conversion Dr. Elizabeth Godoy Speech Processing Guest Lecture December 11, 2012.
TELEPHONE NUMBER TELEPHONE NUMBER
Tomorrow’s Technology Today Convergence of Web, Wireless and Voice.
Overview of Adaptive Multi-Rate Narrow Band (AMR-NB) Speech Codec
EE2F1 Speech & Audio Technology Sept. 26, 2002 SLIDE 1 THE UNIVERSITY OF BIRMINGHAM ELECTRONIC, ELECTRICAL & COMPUTER ENGINEERING Digital Systems & Vision.
Analysis & Synthesis The Vocoder and its related technology.
EE2F1 Speech & Audio Technology Sept. 26, 2002 SLIDE 1 THE UNIVERSITY OF BIRMINGHAM ELECTRONIC, ELECTRICAL & COMPUTER ENGINEERING Digital Systems & Vision.
C++ Workshop Introduction Prof. John Cole. Schedule Day 1: Setting up. Language basics. Day 2: Arrays and Pointers Day 3: Functions, Recursion, Algorithms.
Technology for Hearing Impairments
Representing Acoustic Information
Impact on Access: Individuals with COCHLEAR IMPLANTS In Educational and Employment Settings September 14, 2010 Design by Ron Jaxon.
Sound Sound is made by vibrating objects:- such as vocal chords, strings, wires, bells.
THE CELLULAR CONNECTION Presented by Josh. HISTORICAL FACTS  A mobile phone (also known as a cellular phone, cell phone, and a hand phone) is a device.
Speech Coding Using LPC. What is Speech Coding  Speech coding is the procedure of transforming speech signal into more compact form for Transmission.
Acoustic Analysis of Speech Robert A. Prosek, Ph.D. CSD 301 Robert A. Prosek, Ph.D. CSD 301.
Mark D. Skowronski Computational Neuro-Engineering Lab
演講公告 Dr. Fengduo Hu Abstract : In the last decade CD-quality digital audio has essentially replaced analog audio and resulted in a digital revolution.
Adaptive Design of Speech Sound Systems Randy Diehl In collaboration with Bjőrn Lindblom, Carl Creeger, Lori Holt, and Andrew Lotto.
v Telecommunications Industry AssociationTR41.N.n-YY-MM-XXX.
Speech Or can you hear me now?. Linguistic Parts of Speech Phone Phone Basic unit of speech sound Basic unit of speech sound Phoneme Phoneme Phone to.
Speech Coding Submitted To: Dr. Mohab Mangoud Submitted By: Nidal Ismail.
Department of Electrical & Computer Engineering Auditory Perception Meena Ramani 04/09/2004.
Code : STM#220 Samsung Electronics Co., Ltd. IP Telephony System Error Handling & Management IP Telephony System Error Handling & Management Distribution.
Compression No. 1  Seattle Pacific University Data Compression Kevin Bolding Electrical Engineering Seattle Pacific University.
Artificial Intelligence 2004 Speech & Natural Language Processing Natural Language Processing written text as input sentences (well-formed) Speech.
Submitted By: Santosh Kumar Yadav (111432) M.E. Modular(2011) Under the Supervision of: Mrs. Shano Solanki Assistant Professor, C.S.E NITTTR, Chandigarh.
Lecture#10 Quality of service The Bonch-Bruevich Saint-Petersburg State University of Telecommunications Series of lectures “Telecommunication networks”
Towards a Cohort-Selective Frequency- Compression Hearing Aid Marie Roch ¤, Richard R. Hurtig ¥, Jing Lui ¤, and Tong Huang ¤ ¥ ¤
(Extremely) Simplified Model of Speech Production
How your age affects your Hearing. Background I picked this project because I was interested in the mosquito ring tone. The mosquito ring tone is a cell.
S PEECH T ECHNOLOGY Answers to some Questions. S PEECH T ECHNOLOGY WHAT IS SPEECH TECHNOLOGY ABOUT ?? SPEECH TECHNOLOGY IS ABOUT PROCESSING HUMAN SPEECH.
Vocal Tract & Lip Shape Estimation By MS Shah & Vikash Sethia Supervisor: Prof. PC Pandey EE Dept, IIT Bombay AIM-2003, EE Dept, IIT Bombay, 27 th June,
Writing IEPs for Student’s with Hearing Loss Carrie Spangler, Au.D., CCC-A Kirsten Marconi-Hutkay, Au.D, CCC-A Stark County ESC.
Detection of Vowel Onset Point in Speech S.R. Mahadeva Prasanna & Jinu Mariam Zachariah Department of Computer Science & Engineering Indian Institute.
A. R. Jayan, P. C. Pandey, EE Dept., IIT Bombay 1 Abstract Perception of speech under adverse listening conditions may be improved by processing it to.
How we Hear. Auditory transduction oc oc.
Institut für Nachrichtengeräte und Datenverarbeitung Prof. Dr.-Ing. P. Vary On the Use of Artificial Bandwidth Extension Techniques in Wideband Speech.
Social the Academy. the Academy Security WiFi expansion New laptops for faculty Piloting iPads Server Upgrades Bandwidth (October.
By Sharon Gustafson Learn Through Listening: These learners like the spoken word. They may specialize in law or politics. 30 % of the population are.
Motorola presents in collaboration with CNEL Introduction  Motivation: The limitation of traditional narrowband transmission channel  Advantage: Phone.
1 Speech Compression (after first coding) By Allam Mousa Department of Telecommunication Engineering An Najah University SP_3_Compression.
Bayesian Enhancement of Speech Signals Jeremy Reed.
Community Event Twanna Bradford Professor Williams Final Project June 5, 2016.
Copyright © American Speech-Language-Hearing Association
Project 1. Assistive Device
Copyright © American Speech-Language-Hearing Association
Social Validity of Technology Assisted Language Intervention
Automated Detection of Speech Landmarks Using
Ana Alves-Pinto, Joseph Sollini, Toby Wells, and Christian J. Sumner
Copyright © American Speech-Language-Hearing Association
Copyright © American Speech-Language-Hearing Association
Copyright © American Speech-Language-Hearing Association
Phone: + 40 (728) | +40 (733)
Assessment Workshop September 2013
Speech and Audio Processing
Silicon Cortex ONR Sponsored
Submission Title: [Bluetooth SIG Liaison Report Nov08]
Bluetooth Liaison Report
Itcoinitcoin ASAS. 4 I4 I,
Ability to attract money: 0.00 Pauling
For People with Hearing Loss
THE UNIVERSITY OF TENNESSEE
Presentation transcript:

MOTOROLA Project 2004 Current members Prof. John G. Harris Dr. Mark D. Skowronski Meena Ramani, Ph.D. student Harsha Sathyendra, Ph.D. student Ismail Uysal, Ph.D. student & Prof. Alice Holmes, Audiology Sharon Powell, Au.D. student

MOTOROLA Project 2004 Previous CNEL members Tom Reinke, M.S. `01 Marc Boillot, Ph.D. `02 Adnan Sabuwala, M.S. `02 Bill O’Rourke, M.S. `02 Kaustubh Kale, M.S. `03 Lingyun Gu, `04 Funding from MOTOROLA since 2000 Publications in SPEECH PROCESSING Speech Enhancement  Energy redistribution, voiced/unvoiced ASA San Diego `04 JASA, 2004 (revision)  Energy redistribution, spectral transitions ASA Cancun `02 Loudness Enhancement  Bandwidth expansion ISCAS Vancouver `04

MOTOROLA Project 2004 Telephone BW is Hz Goal: Extend speech bandwidth to 0-4 kHz on the phone. Methods: predictive models for vocal tract and excitation information. Current 2004 projects: Bandwidth Extension

MOTOROLA Project 2004 Current 2004 projects: Assistive Listening Devices 20 million Americans are hard of hearing. Goal: Develop cell phones as ALDs. Methods: speech enhancement algorithms, audiologic listening tests