Predicting the Intelligibility of Cochlear-implant Vocoded Speech from Objective Quality Measure(12) Department of Electrical Engineering, The University.

Slides:



Advertisements
Similar presentations
Frequency-response-based Wavelet Decomposition for Extracting Children’s Mismatch Negativity Elicited by Uninterrupted Sound Department of Mathematical.
Advertisements

$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
Perception of syllable prominence by listeners with and without competence in the tested language Anders Eriksson 1, Esther Grabe 2 & Hartmut Traunmüller.
NUU Department of Electrical Engineering Linear Algedra ---Meiling CHEN1 Eigenvalues & eigenvectors Distinct eigenvalues Repeated eigenvalues –Independent.
Real-Time Speech Recognition Thang Pham Advisor: Shane Cotter.
Introduction by Kristina Lauer.  Goals for the course:  Improve writing skills  Increase skills in English grammar  Practice pronunciation  Improve.
Classification of place of articulation in unvoiced stops with spectro-temporal surface modeling V. Karjigi , P. Rao Dept. of Electrical Engineering,
English vs. Mandarin: A Phonetic Comparison Experimental Setup Abstract The focus of this work is to assess the performance of three new variational inference.
How to make a presentation (Oral and Poster) Dr. Bernard Chen Ph.D. University of Central Arkansas July 5 th Applied Research in Healthy Information.
Nasal endings of Taiwan Mandarin: Production, perception, and linguistic change Student : Shu-Ping Huang ID No. : NA3C0004 Professor : Dr. Chung Chienjer.
$100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300 $400 $500 $100 $200 $300.
METHODOLOGY INTRODUCTION ACKNOWLEDGEMENTS LITERATURE Low frequency information via a hearing aid has been shown to increase speech intelligibility in noise.
2010/12/11 Frequency Domain Blind Source Separation Based Noise Suppression to Hearing Aids (Part 1) Presenter: Cian-Bei Hong Advisor: Dr. Yeou-Jiunn Chen.
World Languages Mandarin English Challenges in Mandarin Speech Recognition  Highly developed language model is required due to highly contextual nature.
International Programs at the College of Engineering, Chang Gung University 1.
Frequency-response-based Wavelet Decomposition for Extracting Children’s Mismatch Negativity Elicited by Uninterrupted Sound Department of Mathematical.
Study of Neural Correlates of Mandarin Tonal Production with Neural Network Model Department of Electrical Engineering, National Central University, Jhongli.
How do I find works in the Repository?. University of Texas Libraries UT DR Digital Repository Search in the Repository Keyword search from the Repository.
A Study of Assisting Hearing-Impaired Students in Identifying Mandarin Tones by Using Modified Pitch Contours Adviser: Dr. Yeou - Jiunn Chen Presenter:
EE Audio Signals and Systems Linear Prediction Kevin D. Donohue Electrical and Computer Engineering University of Kentucky.
VOCODERS. Vocoders Speech Coding Systems Implemented in the transmitter for analysis of the voice signal Complex than waveform coders High economy in.
English vs. Mandarin: A Phonetic Comparison The Data & Setup Abstract The focus of this work is to assess the performance of three new variational inference.
1 Speech Processing. 2 Speech Processing: Text:  Spoken language processing Huang, Acero, Hon, Prentice Hall, 2000  Discrete time processing of speech.
TAKE OUT YOUR GRAMMAR/QUICKWRITE SHEET MONDAY/TUESDAY-PICK UP A NEW ONE ON THE BOX WEDNESDAY/THURSDAY-GO GET IT FROM YOUR FILE FOLDER.
Point-Slope Form of an Equation Notes Over 5.5 Use the point-slope form of a line to write an equation of the line that passes through the given points.
Frequency-response-based Wavelet Decomposition for Extracting Children’s Mismatch Negativity Elicited by Uninterrupted Sound Department of Mathematical.
2010/12/11 Frequency Domain Blind Source Separation Based Noise Suppression to Hearing Aids (Part 3) Presenter: Cian-Bei Hong Advisor: Dr. Yeou-Jiunn Chen.
An i-Vector PLDA based Gender Identification Approach for Severely Distorted and Multilingual DARPA RATS Data Shivesh Ranjan, Gang Liu and John H. L. Hansen.
Predicting the Intelligibility of Cochlear-implant Vocoded Speech from Objective Quality Measure(1) Department of Electrical Engineering, The University.
Frequency-response-based Wavelet Decomposition for Extracting Children’s Mismatch Negativity Elicited by Uninterrupted Sound Department of Mathematical.
Substation Data Integration & Information Exchange Advisor: Dr. Mladen Kezunovic Student: Sasa Jakovljevic Texas A&M University, Department of Electrical.
Caiyi Primary School Elaine Wong middle school You’re going to go to middle school this September. You’re going to learn many subjects in middle school.
English vs. Mandarin: A Phonetic Comparison The Data & Setup Abstract The focus of this work is to assess the performance of new variational inference.
Erik Jonsson School of Engineering and Computer Science FEARLESS Engineeringwww.utdallas.edu/~pervin ENGR 3300 – 505 Advanced Engineering Mathematics
 Student : Joanna Yang  Adviser: Dr. Raung - fu Chung  Date : 2011/06/10 Southern Taiwan University Department of Applied English.
Predicting the Intelligibility of Cochlear-implant Vocoded Speech from Objective Quality Measure(2) Department of Electrical Engineering, The University.
A. Author, B. Coauthor and C. Coauthor Powders & Grains Conference Golden, CO, USA, July 13-17, 2009 Instructions for Oral Presentation at the Powders.
The Film Innovation Lab
TOPIC: ELECTRO-MECHANICAL ENERGY CONVERSION ENROLLMENT NO:
College of Engineering Temple University
Kim Hyunsoo,Ah Lee Jae,Jun Sim Hyeon,D. Lima Márcio,Jeong Kim Seon
AFFILIATION: Department of Power Mechanical Engineering, TPCA
Copyright © American Speech-Language-Hearing Association
Copyright © American Speech-Language-Hearing Association
Frequency-response-based Wavelet Decomposition for Extracting Children’s Mismatch Negativity Elicited by Uninterrupted Sound Department of Mathematical.
Twenty Questions Subject:.
Intelligent Data Analysis Lab Print this poster in sizes
Check On Learning Q: What manual, regulation, or publication governs The Army Management Structure for Fiscal Year? DFAS-IN MANUAL FY DFAS-IN 37-1.
An HOG-LBP Human Detector with Partial Occlusion Handling
(Replace this sentence by subject) Random Slide Show Menu
Closing Report Date: Authors: November 2012 November 2012
It’s Time for a Break!!!.
It’s Time for a Break!!!.
Name of Event Name of Event
Twenty Questions Subject:.
ESL English as a Second Language Mrs. Rosa
Twenty Questions Subject:.
Twenty Questions Subject:.
Twenty Questions Subject:.
Twenty Questions Subject:.
Twenty Questions Subject:.
Title: Solving Linear Equations Date: 24/04/13
Thing / Person:____________________ Dates:_________________
Record your QUESTIONS as your read.
Twenty Questions Subject:.
AFFILIATION: Department of Power Mechanical Engineering, TPCA
13 – Exponential vs. Linear Functions Calculator Required
Twenty Questions Subject:.
Twenty Questions Subject:.
ROBOT CONTROL WITH VOICE
Presentation transcript:

Predicting the Intelligibility of Cochlear-implant Vocoded Speech from Objective Quality Measure(12) Department of Electrical Engineering, The University of Texas at Dallas, Richardson, Texas75083, USA Chairman:Hung-Chi Yang Presenter: Yu-Kai Wang Advisor: Dr. Yeou-Jiunn Chen Date:

Material and Methods  Experiments  Experiments 1 and 2 listened to vocoded English stimuli  Total of 30 and 24 test conditions,respectively  Experiment 3 listened to vocoded Mandarin Chinese stimuli  total of 20 test conditions,respectively  Twenty sentences, and none of the sentences were repeated.  The order of the test conditions was randomized.  Subjects were given a 5-minute break every 30 minutes during the testing session..

Material and Methods  Used objective speech quality measures for predicting the intelligibility of vocoded speech in noisy conditions.  Vocoded English  Vocoded Mandarin Chinesein  This study investigated the performance.  The linear predictive coding (LPC)  The log-likelihood ratio (LLR)  The Itakura-Saito (IS)  The cepstrum (CEP) distance measures