77 010002000300040005000 0 1 2 3 4 5 6 7 FREQUENCY (HZ) LOG10 MAGNITUDE Figure 2.30a. PSD of original voice. 0.10.20.30.40.5 0 0.02 0.04 0.06 0.08 0.1.

Slides:

Advertisements

Similar presentations

Week 2 Vocabulary Review Quiz Friday, September 3 rd.

Advertisements

Fundamentals of Data & Signals (Part II) School of Business Eastern Illinois University © Abdou Illia, Spring 2015 (February18, 2015)

Vocal microtremor in normophonic and mildly dysphonic speakers Jean Schoentgen Université Libre Bruxelles Brussels - Belgium.

Jacob Zurasky ECE5525 Fall  Goals ◦ Determine if the principles of speech processing relate to snoring sounds. ◦ Use homomorphic filtering techniques.

CHAPTER 4 Noise in Frequency Modulation Systems

Storey: Electrical & Electronic Systems © Pearson Education Limited 2004 OHT 5.1 Signals and Data Transmission  Introduction  Analogue Signals  Digital.

Modulations. Modulation to tie information to the carrier frequency Carrier frequency: the RF signal which is modulated by the baseband signal Two main.

Measuring the Wilson effect: observations and modeling with RHESSI H. Jabran Zahid M. D. Fivian H. S. Hudson.

Principles of analogue modulation

1. Connect the detector signal cable with a 50 ohm “T” into Ch 1 adapter50 ohm “T” 2. Turn the oscilloscope on by depressing the power button. 3. The display.

C H A P T E R 4 AMPLITUDE MODULATIONS AND DEMODULATIONS

Chapter 2: Continuous-Wave Modulation ©2000, John Wiley & Sons, Inc. Haykin/Communication Systems, 4th Ed Chapter2 Continuous-Wave Modulation.

Representing Acoustic Information

Translations 4.2 JMerrill, 2009 Sine Waves Recorded sounds, that are periodic, are some kind of sine wave. Most of these sine waves are not of the “parent.

AM modulation essentially consists of the TD multiplication of the modulating signal by a cosine carrier. In the FD, AM modulation effected a frequency.

EE 6331, Spring, 2009 Advanced Telecommunication Zhu Han Department of Electrical and Computer Engineering Class 11 Feb. 24 th, 2009.

1 Analysis and Synthesis of Pathological Vowels Prospectus Brian C. Gabelman 6/13/2003.

93 SOURCE TIME SERIES VOCAL TRACT TRANSFER FUNCTION VOICE TIME SERIES VOICE SPECTRUM SOURCE TIME SERIES VOCAL TRACT TRANSFER FUNCTION VOICE TIME SERIES.

Radio Signals Modulation Defined The purpose of radio communications is to transfer information from one point to another. The information to be sent.

Ch 111 Sensation & Perception Ch. 11: Sound, The Auditory System, and Pitch Perception © Takashi Yamauchi (Dept. of Psychology, Texas A&M University) Main.

Contents Introduction ( P1-P4). Frequency modulation.(P5-P7) Frequency demodulation (P8-P14) FM using simulink implementation (P15 – P 17)

ENS 203- Amplitude Modulation and Demodulation Lab 6 Radio Experiment Meric Ozcan After you configure the radio as specified in your lab sheet, you will.

EECE 252 PROJECT SPRING 2014 Presented by: Peizhen Sun Nor Asma Mohd Sidik.

VOCODERS. Vocoders Speech Coding Systems Implemented in the transmitter for analysis of the voice signal Complex than waveform coders High economy in.

(Extremely) Simplified Model of Speech Production

EEL 6586: AUTOMATIC SPEECH PROCESSING Speech Features Lecture Mark D. Skowronski Computational Neuro-Engineering Lab University of Florida February 27,

CHAPTER 4 COMPLEX STIMULI. Types of Sounds So far we’ve talked a lot about sine waves =periodic =energy at one frequency But, not all sounds are like.

Exponential CW Modulation

P105 Lecture #27 visuals 20 March 2013.

Digital Modulation Basics

2.7 Piecewise Functions p In real life functions are represented by a combination of equations, each corresponding to a part of the domain. These.

EEL 6586: AUTOMATIC SPEECH PROCESSING Speech Features Lecture Mark D. Skowronski Computational Neuro-Engineering Lab University of Florida February 20,

And application to estimating the left-hand fingering (automatic tabulature generation) Caroline Traube Center for Computer Research in Music and Acoustics.

Date of download: 6/27/2016 Copyright © 2016 SPIE. All rights reserved. Flow chart of the imaging processing. See Sec. 2 for details. Figure Legend: From:

Date of download: 7/9/2016 Copyright © 2016 SPIE. All rights reserved. A two-dimensional sampling lattice. v1 and v2 are the basis vectors. T1 and T2 are.

DSP First, 2/e Lecture 6 Periodic Signals, Harmonics & Time-Varying Sinusoids.

146 Figure 5.1. Measured synthetic fundamental period combines portions from two separately synthesized pulses; time between minima is measured: the last.

P105 Lecture #26 visuals 18 March 2013.

Bee1 – (1) 16,000 samples recorded at 22,000 samples/second.

Modulation of hippocampal activity with fornix Deep Brain Stimulation

Communications Engineering 1

From: Hue shifts produced by temporal asymmetries in chromatic signals depend on the alignment of the first and second harmonics Journal of Vision. 2017;17(9):3.

From: Hue shifts produced by temporal asymmetries in chromatic signals

Hw week 5 1. Let the message signal m(t) = 4 + 2cos(2  103t), carrier wave xc(t) = 8cos(2  106t) (a) For DSB-SC systems, draw the frequency domain.

Copyright © American Speech-Language-Hearing Association

Journal of Vision. 2006;6(10):3. doi: / Figure Legend:

General Engineering Polytechnic University

PROJECT PROPOSAL Shamalee Deshpande.

Component: E Local quakes Broad frequency Two tremor bursts

Middle Technical University - Iraq

Measured Period VOICE SIGNAL

Fundamentals of Data & Signals (Part II)

ESTIMATED INVERSE SYSTEM

FUNDAMENTAL PERIOD TRACK FEATURES

The Production of Speech

Signal Processing First

Sound shadow effect Depends on the size of the obstructing object and the wavelength of the sound. If comparable: Then sound shadow occurs. I:\users\mnshriv\3032.

Slope & Slope-Intercept Equations

Evolution of human vocal production

Inducing Gamma Oscillations and Precise Spike Synchrony by Operant Conditioning via Brain-Machine Interface Ben Engelhard, Nofar Ozeri, Zvi Israel, Hagai.

Envelope spectra of GB-256 (Tar Pump) is showing 1xRS and 2xRs,

CSE 313 Data Communication

Uses of filters To remove unwanted components in a signal

Analysis of Dynamic Brain Imaging Data

The Coordinate Plane pg

Interaction of Postsynaptic Receptor Saturation with Presynaptic Mechanisms Produces a Reliable Synapse Kelly A. Foster, Anatol C. Kreitzer, Wade G.

Example Combination of Systems Transfer Function:

Slope & Slope-Intercept Equations

Power spectra of EMG during the pre- and post-feedback sessions.

Presentation transcript:

FREQUENCY (HZ) LOG10 MAGNITUDE Figure 2.30a. PSD of original voice TIME (SEC) TIME (SEC) TIME (SEC) FREQUENCY (HZ) LOG10 MAGNITUDE Figure 2.30e. Orig. PSD, aspiration PSD, and vocal tract FREQUENCY (HZ) LOG10 MAGNITUDE Figure 2.30f. Source aspiration PSD with vocal tract removed and fitted to 25-point piecewise-linear model. Peaks removed here Original. Spectrum Nonperiodic Spectrum Vocal tract Transfer Function Aspiration Spectrum Fitted model 0 0 Figure 2.30c. Cepstrum (expanded scale).Figure 2.30d. Comb-liftered cepstrum of 2.30c. 0 Figure 2.30b. Cepstrum of original voice.

FREQUENCY (HZ) Figure Power spectra of original voice (top), voice with FM tremor removed (middle), and voice with all FM removed (bottom). RELATIVE POWER (LOG10 MAGNITUDE)

NSR (dB) CASE# - SORTED BY ASCENDING ORIGINAL NSR Figure Cepstral NSR measurements for six combinations of AM and FM demodulation. The horizontal axis is case number when cases are sorted by original voice NSR. Curves fall into 3 groups: original voice and original voice AM demod. (top pair), tremor demod. and tremor plus AM demod. (middle pair), and all FM demod. and all FM demod. plus AM demod. (bottom pair). AM modulation appears to have a minimal effect. LEGEND ORIGINAL (TOP) ORIGINAL, AM RMVD TREMOR RMVD (MIDDLE) TERMOR RMVD, AM REMVD ALL FM RMVD (BOTTOM) ALL FM RMVD, AM REMVD