Adaptive time scale modification of speech for graceful degrading voice quality in congested networks

Size: px
Start display at page:

Download "Adaptive time scale modification of speech for graceful degrading voice quality in congested networks"

Transcription

1 Adaptive time scale modification of speech for graceful degrading voice quality in congested networks Prof. H. Gokhan ILK Ankara University, Faculty of Engineering, Electrical&Electronics Eng. Dept 1

2 Contact Details & Background Address : Ankara University, Faculty of Engineering Electrical &Electronics Engineering Department Ankara, Turkey ilk@ieee.org Ph.D on DCT Based Prototype Interpolation Speech Coding University of Manchester, UK Vienna, November 2012 ETSI Workshop on selected items on telecommunication quality matters 2

3 How do we design a speech codec, today? Analog Speech => ADC => Digital Speech => Source encoding Analog Speech <= DAC <= Digital Speech <= Source decoding Channel Coding Conventional vocoders (voice coders) encode speech (both source and channel) and transmit it (or use IP) at source and then decode at the destination. The bit rate is almost always fixed Speech Coding 3

4 A little bit of theory and literature Compression Expansion Original speech Input speech Compressed speech Speech signal exhibit both short and long term correlation and LPC analysis removes most of the short term correlation. We can however, remove the long term correlation, (get rid of long term redundancy), i.e. Pitch related correlation The key however is not to disturb pitch and formant frequencies. A detailed investigation of these parameters could be found in: W. Verhelst, Overlap-add methods for time-scaling of speech, Speech Commun. 30 (2000) ETSI Workshop on selected items on telecommunication quality matters 4

5 Earlier work If pitch and formant frequencies are not disturbed by the compression algorithm then one can compress speech (before coding) with a compression rate of beta and then expand the decoded speech at the receiver side with an expansion factor of 1/beta. If for example beta=0.5, then one can have a full duplex channel at a half duplex bandwidth. Why? Because the same signal is represented at half duration with minimum distortion. ETSI Workshop on selected items on telecommunication quality matters 5

6 Waveform Similarity Overlap and ADD Vienna, November 2012 ETSI Workshop on selected items on telecommunication quality matters 6

7 Is that all? We have tried this approach with many different algorithms operating in time and frequency domains. Our experiments with the new NATO standard, Stanag 4591, MELP (mixed excitation linear predictive vocoder) indeed proved that WSOLA in conjuntion with MELP produces high quality output and it is computationally efficient at half the bit rate. Details can be found H.G. Ilk, S. Tugac, Channel and source considerations of a bit rate reduction technique for a possible wireless communications system s performance enhancement, IEEE Trans. Wireless Commun. vol. 4(1), January 2005, pp But what if we would like to make most of our bandwidth? Then the system should be adaptive. It means WSOLA should operate at different time compression factors. This is an engineer s dream come true. You dont operate at constant or multi-rate bit rates but you operate at flexible bit rates. That is YOU tell me how much bandwidth you got and I give tou the best quality possible. Not the other way around!!! A new approach in speech coding 7

8 What is Our Contribution then?? We need different beta as we proceed in time but WSOLA (or any time scale modification algorithm is unable to provide that) ETSI Workshop on selected items on telecommunication quality matters 8

9 Our contribution is the use of half symmetric windows and the modification of the synthesis formula Half symmetric windows in order to go back to the original time scale Expansion Modification of the WSOLA algorithm, synthesis formula 9

10 Finally! There is not much time and space for the mathematical derivations but details may be found at: H.G. Ilk, S. Guler,"Adaptive Time Scale Modification of Speech for Graceful Degrading Voice Quality in Congested Networks for VoIP Applications", Signal Processing Vol 86, pp , January 2006 (Cited 12 times, ). This approach is very useful as the proposed algorithm can be applied to any commercial system as a pre and post process, without requiring any modification in the codec s internal design. TURKCELL, 2008 Best Academic Work award Vienna, November 2012 ETSI Workshop on selected items on telecommunication quality matters 10

11 Last but not least! This approach is particularly useful in VoIP (Voice Over IP) applications in dynamic networks because the load may change abruptly and it is not symmetric at each direction. It is also equally valuable in congested voice networks because today s networks either allow multi-rates (2.4, 4.8 or 16.0 kb/s) or drops your call. In addition it can be used for speech and/or audio storage As far as the author knows, no voice network can accommodate new subscribers, as they join, with a graceful degradation in voice quality, adaptively. One day all coders will be designed this way ETSI Workshop on selected items on telecommunication quality matters 11

12 Samples Male Steve wore a bright red cashmere sweater Female Before Thursday s exam review every formula 128 kb/s PCM 2.4 kb/s 1.0 kb/s 128 kb/s PCM 2.4 kb/s 1.0 kb/s Vienna, November 2012 ETSI Workshop on selected items on telecommunication quality matters 12

13 Thank you very much for listening Any questions? 13

APPLICATIONS OF DSP OBJECTIVES

APPLICATIONS OF DSP OBJECTIVES APPLICATIONS OF DSP OBJECTIVES This lecture will discuss the following: Introduce analog and digital waveform coding Introduce Pulse Coded Modulation Consider speech-coding principles Introduce the channel

More information

techniques are means of reducing the bandwidth needed to represent the human voice. In mobile

techniques are means of reducing the bandwidth needed to represent the human voice. In mobile 8 2. LITERATURE SURVEY The available radio spectrum for the wireless radio communication is very limited hence to accommodate maximum number of users the speech is compressed. The speech compression techniques

More information

Digital Speech Processing and Coding

Digital Speech Processing and Coding ENEE408G Spring 2006 Lecture-2 Digital Speech Processing and Coding Spring 06 Instructor: Shihab Shamma Electrical & Computer Engineering University of Maryland, College Park http://www.ece.umd.edu/class/enee408g/

More information

Speech Coding Technique And Analysis Of Speech Codec Using CS-ACELP

Speech Coding Technique And Analysis Of Speech Codec Using CS-ACELP Speech Coding Technique And Analysis Of Speech Codec Using CS-ACELP Monika S.Yadav Vidarbha Institute of Technology Rashtrasant Tukdoji Maharaj Nagpur University, Nagpur, India monika.yadav@rediffmail.com

More information

Overview of Code Excited Linear Predictive Coder

Overview of Code Excited Linear Predictive Coder Overview of Code Excited Linear Predictive Coder Minal Mulye 1, Sonal Jagtap 2 1 PG Student, 2 Assistant Professor, Department of E&TC, Smt. Kashibai Navale College of Engg, Pune, India Abstract Advances

More information

Low Bit Rate Speech Coding

Low Bit Rate Speech Coding Low Bit Rate Speech Coding Jaspreet Singh 1, Mayank Kumar 2 1 Asst. Prof.ECE, RIMT Bareilly, 2 Asst. Prof.ECE, RIMT Bareilly ABSTRACT Despite enormous advances in digital communication, the voice is still

More information

EE482: Digital Signal Processing Applications

EE482: Digital Signal Processing Applications Professor Brendan Morris, SEB 3216, brendan.morris@unlv.edu EE482: Digital Signal Processing Applications Spring 2014 TTh 14:30-15:45 CBC C222 Lecture 12 Speech Signal Processing 14/03/25 http://www.ee.unlv.edu/~b1morris/ee482/

More information

EC 6501 DIGITAL COMMUNICATION UNIT - II PART A

EC 6501 DIGITAL COMMUNICATION UNIT - II PART A EC 6501 DIGITAL COMMUNICATION 1.What is the need of prediction filtering? UNIT - II PART A [N/D-16] Prediction filtering is used mostly in audio signal processing and speech processing for representing

More information

Vocoder (LPC) Analysis by Variation of Input Parameters and Signals

Vocoder (LPC) Analysis by Variation of Input Parameters and Signals ISCA Journal of Engineering Sciences ISCA J. Engineering Sci. Vocoder (LPC) Analysis by Variation of Input Parameters and Signals Abstract Gupta Rajani, Mehta Alok K. and Tiwari Vebhav Truba College of

More information

Wideband Speech Coding & Its Application

Wideband Speech Coding & Its Application Wideband Speech Coding & Its Application Apeksha B. landge. M.E. [student] Aditya Engineering College Beed Prof. Amir Lodhi. Guide & HOD, Aditya Engineering College Beed ABSTRACT: Increasing the bandwidth

More information

Data Transmission at 16.8kb/s Over 32kb/s ADPCM Channel

Data Transmission at 16.8kb/s Over 32kb/s ADPCM Channel IOSR Journal of Engineering (IOSRJEN) ISSN: 2250-3021 Volume 2, Issue 6 (June 2012), PP 1529-1533 www.iosrjen.org Data Transmission at 16.8kb/s Over 32kb/s ADPCM Channel Muhanned AL-Rawi, Muaayed AL-Rawi

More information

Audio Signal Compression using DCT and LPC Techniques

Audio Signal Compression using DCT and LPC Techniques Audio Signal Compression using DCT and LPC Techniques P. Sandhya Rani#1, D.Nanaji#2, V.Ramesh#3,K.V.S. Kiran#4 #Student, Department of ECE, Lendi Institute Of Engineering And Technology, Vizianagaram,

More information

Chapter IV THEORY OF CELP CODING

Chapter IV THEORY OF CELP CODING Chapter IV THEORY OF CELP CODING CHAPTER IV THEORY OF CELP CODING 4.1 Introduction Wavefonn coders fail to produce high quality speech at bit rate lower than 16 kbps. Source coders, such as LPC vocoders,

More information

The Channel Vocoder (analyzer):

The Channel Vocoder (analyzer): Vocoders 1 The Channel Vocoder (analyzer): The channel vocoder employs a bank of bandpass filters, Each having a bandwidth between 100 Hz and 300 Hz. Typically, 16-20 linear phase FIR filter are used.

More information

Speech Enhancement Based On Spectral Subtraction For Speech Recognition System With Dpcm

Speech Enhancement Based On Spectral Subtraction For Speech Recognition System With Dpcm International OPEN ACCESS Journal Of Modern Engineering Research (IJMER) Speech Enhancement Based On Spectral Subtraction For Speech Recognition System With Dpcm A.T. Rajamanickam, N.P.Subiramaniyam, A.Balamurugan*,

More information

Distributed Speech Recognition Standardization Activity

Distributed Speech Recognition Standardization Activity Distributed Speech Recognition Standardization Activity Alex Sorin, Ron Hoory, Dan Chazan Telecom and Media Systems Group June 30, 2003 IBM Research Lab in Haifa Advanced Speech Enabled Services ASR App

More information

Communications Theory and Engineering

Communications Theory and Engineering Communications Theory and Engineering Master's Degree in Electronic Engineering Sapienza University of Rome A.A. 2018-2019 Speech and telephone speech Based on a voice production model Parametric representation

More information

Enhanced Waveform Interpolative Coding at 4 kbps

Enhanced Waveform Interpolative Coding at 4 kbps Enhanced Waveform Interpolative Coding at 4 kbps Oded Gottesman, and Allen Gersho Signal Compression Lab. University of California, Santa Barbara E-mail: [oded, gersho]@scl.ece.ucsb.edu Signal Compression

More information

Ninad Bhatt Yogeshwar Kosta

Ninad Bhatt Yogeshwar Kosta DOI 10.1007/s10772-012-9178-9 Implementation of variable bitrate data hiding techniques on standard and proposed GSM 06.10 full rate coder and its overall comparative evaluation of performance Ninad Bhatt

More information

EE 225D LECTURE ON MEDIUM AND HIGH RATE CODING. University of California Berkeley

EE 225D LECTURE ON MEDIUM AND HIGH RATE CODING. University of California Berkeley University of California Berkeley College of Engineering Department of Electrical Engineering and Computer Sciences Professors : N.Morgan / B.Gold EE225D Spring,1999 Medium & High Rate Coding Lecture 26

More information

International Journal of Advanced Engineering Technology E-ISSN

International Journal of Advanced Engineering Technology E-ISSN Research Article ARCHITECTURAL STUDY, IMPLEMENTATION AND OBJECTIVE EVALUATION OF CODE EXCITED LINEAR PREDICTION BASED GSM AMR 06.90 SPEECH CODER USING MATLAB Bhatt Ninad S. 1 *, Kosta Yogesh P. 2 Address

More information

Speech Compression Using Voice Excited Linear Predictive Coding

Speech Compression Using Voice Excited Linear Predictive Coding Speech Compression Using Voice Excited Linear Predictive Coding Ms.Tosha Sen, Ms.Kruti Jay Pancholi PG Student, Asst. Professor, L J I E T, Ahmedabad Abstract : The aim of the thesis is design good quality

More information

10 Speech and Audio Signals

10 Speech and Audio Signals 0 Speech and Audio Signals Introduction Speech and audio signals are normally converted into PCM, which can be stored or transmitted as a PCM code, or compressed to reduce the number of bits used to code

More information

Sound Synthesis Methods

Sound Synthesis Methods Sound Synthesis Methods Matti Vihola, mvihola@cs.tut.fi 23rd August 2001 1 Objectives The objective of sound synthesis is to create sounds that are Musically interesting Preferably realistic (sounds like

More information

EUROPEAN pr ETS TELECOMMUNICATION March 1996 STANDARD

EUROPEAN pr ETS TELECOMMUNICATION March 1996 STANDARD DRAFT EUROPEAN pr ETS 300 395-1 TELECOMMUNICATION March 1996 STANDARD Source:ETSI TC-RES Reference: DE/RES-06002-1 ICS: 33.020, 33.060.50 Key words: TETRA, CODEC Radio Equipment and Systems (RES); Trans-European

More information

Transcoding of Narrowband to Wideband Speech

Transcoding of Narrowband to Wideband Speech University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 2005 Transcoding of Narrowband to Wideband Speech Christian H. Ritz University

More information

Cellular systems & GSM Wireless Systems, a.a. 2014/2015

Cellular systems & GSM Wireless Systems, a.a. 2014/2015 Cellular systems & GSM Wireless Systems, a.a. 2014/2015 Un. of Rome La Sapienza Chiara Petrioli Department of Computer Science University of Rome Sapienza Italy 2 Voice Coding 3 Speech signals Voice coding:

More information

Lesson 8 Speech coding

Lesson 8 Speech coding Lesson 8 coding Encoding Information Transmitter Antenna Interleaving Among Frames De-Interleaving Antenna Transmission Line Decoding Transmission Line Receiver Information Lesson 8 Outline How information

More information

Proceedings of Meetings on Acoustics

Proceedings of Meetings on Acoustics Proceedings of Meetings on Acoustics Volume 19, 213 http://acousticalsociety.org/ ICA 213 Montreal Montreal, Canada 2-7 June 213 Signal Processing in Acoustics Session 2pSP: Acoustic Signal Processing

More information

Page 0 of 23. MELP Vocoder

Page 0 of 23. MELP Vocoder Page 0 of 23 MELP Vocoder Outline Introduction MELP Vocoder Features Algorithm Description Parameters & Comparison Page 1 of 23 Introduction Traditional pitched-excited LPC vocoders use either a periodic

More information

Improved signal analysis and time-synchronous reconstruction in waveform interpolation coding

Improved signal analysis and time-synchronous reconstruction in waveform interpolation coding University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 2000 Improved signal analysis and time-synchronous reconstruction in waveform

More information

Simulation of Conjugate Structure Algebraic Code Excited Linear Prediction Speech Coder

Simulation of Conjugate Structure Algebraic Code Excited Linear Prediction Speech Coder COMPUSOFT, An international journal of advanced computer technology, 3 (3), March-204 (Volume-III, Issue-III) ISSN:2320-0790 Simulation of Conjugate Structure Algebraic Code Excited Linear Prediction Speech

More information

LOSS CONCEALMENTS FOR LOW-BIT-RATE PACKET VOICE IN VOIP. Outline

LOSS CONCEALMENTS FOR LOW-BIT-RATE PACKET VOICE IN VOIP. Outline LOSS CONCEALMENTS FOR LOW-BIT-RATE PACKET VOICE IN VOIP Benjamin W. Wah Department of Electrical and Computer Engineering and the Coordinated Science Laboratory University of Illinois at Urbana-Champaign

More information

Implementation of attractive Speech Quality for Mixed Excited Linear Prediction

Implementation of attractive Speech Quality for Mixed Excited Linear Prediction IOSR Journal of Electrical and Electronics Engineering (IOSR-JEEE) e-issn: 2278-1676,p-ISSN: 2320-3331, Volume 9, Issue 2 Ver. I (Mar Apr. 2014), PP 07-12 Implementation of attractive Speech Quality for

More information

Comparison of CELP speech coder with a wavelet method

Comparison of CELP speech coder with a wavelet method University of Kentucky UKnowledge University of Kentucky Master's Theses Graduate School 2006 Comparison of CELP speech coder with a wavelet method Sriram Nagaswamy University of Kentucky, sriramn@gmail.com

More information

The Optimization of G.729 Speech codec and Implementation on the TMS320VC5402

The Optimization of G.729 Speech codec and Implementation on the TMS320VC5402 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering (ICMMCCE 015) The Optimization of G.79 Speech codec and Implementation on the TMS30VC540 1 Geng wang 1, a, Wei

More information

Realization and Performance Evaluation of New Hybrid Speech Compression Technique

Realization and Performance Evaluation of New Hybrid Speech Compression Technique Realization and Performance Evaluation of New Hybrid Speech Compression Technique Javaid A. Sheikh Post Graduate Department of Electronics & IT University of Kashmir Srinagar, India E-mail: sjavaid_29ku@yahoo.co.in

More information

Overview of Digital Mobile Communications

Overview of Digital Mobile Communications Overview of Digital Mobile Communications Dong In Kim (dikim@ece.skku.ac.kr) Wireless Communications Lab 1 Outline Digital Communications Multiple Access Techniques Power Control for CDMA IMT-2000 System

More information

TCET3202 Analog and digital Communications II

TCET3202 Analog and digital Communications II NEW YORK CITY COLLEGE OF TECHNOLOGY The City University of New York DEPARTMENT: SUBJECT CODE AND TITLE: COURSE DESCRIPTION: REQUIRED COURSE Electrical and Telecommunications Engineering Technology TCET3202

More information

LMR Codecs Why codecs? Which ones? Why care? Joseph Rothweiler Sensicomm LLC Hudson NH

LMR Codecs Why codecs? Which ones? Why care? Joseph Rothweiler Sensicomm LLC Hudson NH Enhanced Digital LMR Seminar 19th Aug 2016 Wentworth by the Sea New Castle NH LMR Codecs Why codecs? Which ones? Why care? Joseph Rothweiler Sensicomm LLC Hudson NH http://sensicomm.com Presentation available

More information

Spatial Audio Transmission Technology for Multi-point Mobile Voice Chat

Spatial Audio Transmission Technology for Multi-point Mobile Voice Chat Audio Transmission Technology for Multi-point Mobile Voice Chat Voice Chat Multi-channel Coding Binaural Signal Processing Audio Transmission Technology for Multi-point Mobile Voice Chat We have developed

More information

Comparing CSI and PCA in Amalgamation with JPEG for Spectral Image Compression

Comparing CSI and PCA in Amalgamation with JPEG for Spectral Image Compression Comparing CSI and PCA in Amalgamation with JPEG for Spectral Image Compression Muhammad SAFDAR, 1 Ming Ronnier LUO, 1,2 Xiaoyu LIU 1, 3 1 State Key Laboratory of Modern Optical Instrumentation, Zhejiang

More information

UNIT III -- DATA AND PULSE COMMUNICATION PART-A 1. State the sampling theorem for band-limited signals of finite energy. If a finite energy signal g(t) contains no frequency higher than W Hz, it is completely

More information

Speech Synthesis; Pitch Detection and Vocoders

Speech Synthesis; Pitch Detection and Vocoders Speech Synthesis; Pitch Detection and Vocoders Tai-Shih Chi ( 冀泰石 ) Department of Communication Engineering National Chiao Tung University May. 29, 2008 Speech Synthesis Basic components of the text-to-speech

More information

Comparison of Low-Rate Speech Transcoders in Electronic Warfare Situations: Ambe-3000 to G.711, G.726, CVSD

Comparison of Low-Rate Speech Transcoders in Electronic Warfare Situations: Ambe-3000 to G.711, G.726, CVSD Comparison of Low-Rate Speech Transcoders in Electronic Warfare Situations: Ambe-3000 to G.711, G.726, CVSD V. Govindu Department of ECE, UCEK, JNTUK, Kakinada, India 533003. Parthraj Tripathi Defence

More information

Spanning the 4 kbps divide using pulse modeled residual

Spanning the 4 kbps divide using pulse modeled residual University of Wollongong Research Online Faculty of Informatics - Papers (Archive) Faculty of Engineering and Information Sciences 2002 Spanning the 4 kbps divide using pulse modeled residual J Lukasiak

More information

DEPARTMENT OF DEFENSE TELECOMMUNICATIONS SYSTEMS STANDARD

DEPARTMENT OF DEFENSE TELECOMMUNICATIONS SYSTEMS STANDARD NOT MEASUREMENT SENSITIVE 20 December 1999 DEPARTMENT OF DEFENSE TELECOMMUNICATIONS SYSTEMS STANDARD ANALOG-TO-DIGITAL CONVERSION OF VOICE BY 2,400 BIT/SECOND MIXED EXCITATION LINEAR PREDICTION (MELP)

More information

MODIFIED DCT BASED SPEECH ENHANCEMENT IN VEHICULAR ENVIRONMENTS

MODIFIED DCT BASED SPEECH ENHANCEMENT IN VEHICULAR ENVIRONMENTS MODIFIED DCT BASED SPEECH ENHANCEMENT IN VEHICULAR ENVIRONMENTS 1 S.PRASANNA VENKATESH, 2 NITIN NARAYAN, 3 K.SAILESH BHARATHWAAJ, 4 M.P.ACTLIN JEEVA, 5 P.VIJAYALAKSHMI 1,2,3,4,5 SSN College of Engineering,

More information

Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications

Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications Brochure More information from http://www.researchandmarkets.com/reports/569388/ Multimedia Signal Processing: Theory and Applications in Speech, Music and Communications Description: Multimedia Signal

More information

SIGNAL CLASSIFICATION BY DISCRETE FOURIER TRANSFORM. Pauli Lallo ABSTRACT

SIGNAL CLASSIFICATION BY DISCRETE FOURIER TRANSFORM. Pauli Lallo ABSTRACT SIGNAL CLASSIFICATION BY DISCRETE FOURIER TRANSFORM Pauli Lallo Email:pauli.lallo@mail.wwnet.fi ABSTRACT This paper presents a signal classification method using Discrete Fourier Transform (DFT). In digital

More information

Class 4 ((Communication and Computer Networks))

Class 4 ((Communication and Computer Networks)) Class 4 ((Communication and Computer Networks)) Lesson 5... SIGNAL ENCODING TECHNIQUES Abstract Both analog and digital information can be encoded as either analog or digital signals. The particular encoding

More information

Auditory modelling for speech processing in the perceptual domain

Auditory modelling for speech processing in the perceptual domain ANZIAM J. 45 (E) ppc964 C980, 2004 C964 Auditory modelling for speech processing in the perceptual domain L. Lin E. Ambikairajah W. H. Holmes (Received 8 August 2003; revised 28 January 2004) Abstract

More information

SGN Audio and Speech Processing

SGN Audio and Speech Processing Introduction 1 Course goals Introduction 2 SGN 14006 Audio and Speech Processing Lectures, Fall 2014 Anssi Klapuri Tampere University of Technology! Learn basics of audio signal processing Basic operations

More information

Mel Spectrum Analysis of Speech Recognition using Single Microphone

Mel Spectrum Analysis of Speech Recognition using Single Microphone International Journal of Engineering Research in Electronics and Communication Mel Spectrum Analysis of Speech Recognition using Single Microphone [1] Lakshmi S.A, [2] Cholavendan M [1] PG Scholar, Sree

More information

DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK. Subject Name: Information Coding Techniques UNIT I INFORMATION ENTROPY FUNDAMENTALS

DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK. Subject Name: Information Coding Techniques UNIT I INFORMATION ENTROPY FUNDAMENTALS DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK Subject Name: Year /Sem: II / IV UNIT I INFORMATION ENTROPY FUNDAMENTALS PART A (2 MARKS) 1. What is uncertainty? 2. What is prefix coding? 3. State the

More information

Interoperability of FM Composite Multiplex Signals in an IP Based STL

Interoperability of FM Composite Multiplex Signals in an IP Based STL Interoperability of FM Composite Multiplex Signals in an IP Based STL Featuring GatesAir s April 23, 2017 NAB Show 2017 Junius Kim Hardware Engineer Keyur Parikh Director, Intraplex Copyright 2017 GatesAir,

More information

IMPROVING QUALITY OF SPEECH SYNTHESIS IN INDIAN LANGUAGES. P. K. Lehana and P. C. Pandey

IMPROVING QUALITY OF SPEECH SYNTHESIS IN INDIAN LANGUAGES. P. K. Lehana and P. C. Pandey Workshop on Spoken Language Processing - 2003, TIFR, Mumbai, India, January 9-11, 2003 149 IMPROVING QUALITY OF SPEECH SYNTHESIS IN INDIAN LANGUAGES P. K. Lehana and P. C. Pandey Department of Electrical

More information

Telecommunication Electronics

Telecommunication Electronics Politecnico di Torino ICT School Telecommunication Electronics C5 - Special A/D converters» Logarithmic conversion» Approximation, A and µ laws» Differential converters» Oversampling, noise shaping Logarithmic

More information

Pulse Code Modulation

Pulse Code Modulation Pulse Code Modulation Modulation is the process of varying one or more parameters of a carrier signal in accordance with the instantaneous values of the message signal. The message signal is the signal

More information

Bilateral Waveform Similarity Overlap Add Approach based on Time Scale Modification Principle for Packet Loss Concealment of Speech Signals

Bilateral Waveform Similarity Overlap Add Approach based on Time Scale Modification Principle for Packet Loss Concealment of Speech Signals Bilateral Waveform Similarity Overlap Add Approach based on Time Scale Modification Principle for Pacet Loss Concealment of Speech Signals Miss. Rohini D. Patil Research Student, Department of Electronics,

More information

Voice Transmission --Basic Concepts--

Voice Transmission --Basic Concepts-- Voice Transmission --Basic Concepts-- Voice---is analog in character and moves in the form of waves. 3-important wave-characteristics: Amplitude Frequency Phase Telephone Handset (has 2-parts) 2 1. Transmitter

More information

Analog and Telecommunication Electronics

Analog and Telecommunication Electronics Politecnico di Torino - ICT School Analog and Telecommunication Electronics D5 - Special A/D converters» Differential converters» Oversampling, noise shaping» Logarithmic conversion» Approximation, A and

More information

ENHANCED TIME DOMAIN PACKET LOSS CONCEALMENT IN SWITCHED SPEECH/AUDIO CODEC.

ENHANCED TIME DOMAIN PACKET LOSS CONCEALMENT IN SWITCHED SPEECH/AUDIO CODEC. ENHANCED TIME DOMAIN PACKET LOSS CONCEALMENT IN SWITCHED SPEECH/AUDIO CODEC Jérémie Lecomte, Adrian Tomasek, Goran Marković, Michael Schnabel, Kimitaka Tsutsumi, Kei Kikuiri Fraunhofer IIS, Erlangen, Germany,

More information

EC 2301 Digital communication Question bank

EC 2301 Digital communication Question bank EC 2301 Digital communication Question bank UNIT I Digital communication system 2 marks 1.Draw block diagram of digital communication system. Information source and input transducer formatter Source encoder

More information

Speech Coding using Linear Prediction

Speech Coding using Linear Prediction Speech Coding using Linear Prediction Jesper Kjær Nielsen Aalborg University and Bang & Olufsen jkn@es.aau.dk September 10, 2015 1 Background Speech is generated when air is pushed from the lungs through

More information

Analysis/synthesis coding

Analysis/synthesis coding TSBK06 speech coding p.1/32 Analysis/synthesis coding Many speech coders are based on a principle called analysis/synthesis coding. Instead of coding a waveform, as is normally done in general audio coders

More information

A Modified Image Coder using HVS Characteristics

A Modified Image Coder using HVS Characteristics A Modified Image Coder using HVS Characteristics Mrs Shikha Tripathi, Prof R.C. Jain Birla Institute Of Technology & Science, Pilani, Rajasthan-333 031 shikha@bits-pilani.ac.in, rcjain@bits-pilani.ac.in

More information

Adaptive Forward-Backward Quantizer for Low Bit Rate. High Quality Speech Coding. University of Missouri-Columbia. Columbia, MO 65211

Adaptive Forward-Backward Quantizer for Low Bit Rate. High Quality Speech Coding. University of Missouri-Columbia. Columbia, MO 65211 Adaptive Forward-Backward Quantizer for Low Bit Rate High Quality Speech Coding Jozsef Vass Yunxin Zhao y Xinhua Zhuang Department of Computer Engineering & Computer Science University of Missouri-Columbia

More information

Interoperability of FM Composite Multiplex Signals in an IP based STL

Interoperability of FM Composite Multiplex Signals in an IP based STL Interoperability of FM Composite Multiplex Signals in an IP based STL Junius Kim and Keyur Parikh GatesAir Mason, Ohio Abstract - The emergence of high bandwidth IP network connections is an enabler for

More information

MASTER'S THESIS. Speech Compression and Tone Detection in a Real-Time System. Kristina Berglund. MSc Programmes in Engineering

MASTER'S THESIS. Speech Compression and Tone Detection in a Real-Time System. Kristina Berglund. MSc Programmes in Engineering 2004:003 CIV MASTER'S THESIS Speech Compression and Tone Detection in a Real-Time System Kristina Berglund MSc Programmes in Engineering Department of Computer Science and Electrical Engineering Division

More information

A 600 BPS MELP VOCODER FOR USE ON HF CHANNELS

A 600 BPS MELP VOCODER FOR USE ON HF CHANNELS A 600 BPS MELP VOCODER FOR USE ON HF CHANNELS Mark W. Chamberlain Harris Corporation, RF Communications Division 1680 University Avenue Rochester, New York 14610 ABSTRACT The U.S. government has developed

More information

Low Bit Rate Speech Coding Using Differential Pulse Code Modulation

Low Bit Rate Speech Coding Using Differential Pulse Code Modulation Advances in Research 8(3): 1-6, 2016; Article no.air.30234 ISSN: 2348-0394, NLM ID: 101666096 SCIENCEDOMAIN international www.sciencedomain.org Low Bit Rate Speech Coding Using Differential Pulse Code

More information

CODING TECHNIQUES FOR ANALOG SOURCES

CODING TECHNIQUES FOR ANALOG SOURCES CODING TECHNIQUES FOR ANALOG SOURCES Prof.Pratik Tawde Lecturer, Electronics and Telecommunication Department, Vidyalankar Polytechnic, Wadala (India) ABSTRACT Image Compression is a process of removing

More information

Speech Enhancement using Wiener filtering

Speech Enhancement using Wiener filtering Speech Enhancement using Wiener filtering S. Chirtmay and M. Tahernezhadi Department of Electrical Engineering Northern Illinois University DeKalb, IL 60115 ABSTRACT The problem of reducing the disturbing

More information

An Approach to Very Low Bit Rate Speech Coding

An Approach to Very Low Bit Rate Speech Coding Computing For Nation Development, February 26 27, 2009 Bharati Vidyapeeth s Institute of Computer Applications and Management, New Delhi An Approach to Very Low Bit Rate Speech Coding Hari Kumar Singh

More information

JPEG Image Transmission over Rayleigh Fading Channel with Unequal Error Protection

JPEG Image Transmission over Rayleigh Fading Channel with Unequal Error Protection International Journal of Computer Applications (0975 8887 JPEG Image Transmission over Rayleigh Fading with Unequal Error Protection J. N. Patel Phd,Assistant Professor, ECE SVNIT, Surat S. Patnaik Phd,Professor,

More information

Modulator Domain Adaptive Gain Equalizer for Speech Enhancement

Modulator Domain Adaptive Gain Equalizer for Speech Enhancement Modulator Domain Adaptive Gain Equalizer for Speech Enhancement Ravindra d. Dhage, Prof. Pravinkumar R.Badadapure Abstract M.E Scholar, Professor. This paper presents a speech enhancement method for personal

More information

Packet Loss Concealment for Speech Transmissions in Real-Time Wireless Applications

Packet Loss Concealment for Speech Transmissions in Real-Time Wireless Applications Packet Loss Concealment for Speech Transmissions in Real-Time Wireless Applications B.XU Technische Universiteit Delft Packet Loss Concealment for Speech Transmissions in Real-Time Wireless Applications

More information

Multiplexing Module W.tra.2

Multiplexing Module W.tra.2 Multiplexing Module W.tra.2 Dr.M.Y.Wu@CSE Shanghai Jiaotong University Shanghai, China Dr.W.Shu@ECE University of New Mexico Albuquerque, NM, USA 1 Multiplexing W.tra.2-2 Multiplexing shared medium at

More information

Ap A ril F RRL RRL P ro r gra r m By Dick AH6EZ/W9

Ap A ril F RRL RRL P ro r gra r m By Dick AH6EZ/W9 April 2013 FRRL Program By Dick AH6EZ/W9 Why Digital Voice? Data speed or RF bandwidth reduction Transmission by shared digital media such as T1s Security and encryption PCM or ADPCM first US Patent in

More information

ece 429/529 digital signal processing robin n. strickland ece dept, university of arizona ECE 429/529 RNS

ece 429/529 digital signal processing robin n. strickland ece dept, university of arizona ECE 429/529 RNS ece 429/529 digital signal processing robin n. strickland ece dept, university of arizona 2007 SPRING 2007 SCHEDULE All dates are tentative. Lesson Day Date Learning outcomes to be Topics Textbook HW/PROJECT

More information

UNIVERSITY OF SURREY LIBRARY

UNIVERSITY OF SURREY LIBRARY 7385001 UNIVERSITY OF SURREY LIBRARY All rights reserved I N F O R M A T I O N T O A L L U S E R S T h e q u a l i t y o f t h i s r e p r o d u c t i o n is d e p e n d e n t u p o n t h e q u a l i t

More information

Defense Technical Information Center Compilation Part Notice

Defense Technical Information Center Compilation Part Notice UNCLASSIFIED Defense Technical Information Center Compilation Part Notice ADP010883 TITLE: The Turkish Narrow Band Voice Coding and Noise Pre-Processing NATO Candidate DISTRIBUTION: Approved for public

More information

Audio and Speech Compression Using DCT and DWT Techniques

Audio and Speech Compression Using DCT and DWT Techniques Audio and Speech Compression Using DCT and DWT Techniques M. V. Patil 1, Apoorva Gupta 2, Ankita Varma 3, Shikhar Salil 4 Asst. Professor, Dept.of Elex, Bharati Vidyapeeth Univ.Coll.of Engg, Pune, Maharashtra,

More information

Information. LSP (Line Spectrum Pair): Essential Technology for High-compression Speech Coding. Takehiro Moriya. Abstract

Information. LSP (Line Spectrum Pair): Essential Technology for High-compression Speech Coding. Takehiro Moriya. Abstract LSP (Line Spectrum Pair): Essential Technology for High-compression Speech Coding Takehiro Moriya Abstract Line Spectrum Pair (LSP) technology was accepted as an IEEE (Institute of Electrical and Electronics

More information

Summary of the PhD Thesis

Summary of the PhD Thesis Summary of the PhD Thesis Contributions to LTE Implementation Author: Jamal MOUNTASSIR 1. Introduction The evolution of wireless networks process is an ongoing phenomenon. There is always a need for high

More information

Wideband Speech Encryption Based Arnold Cat Map for AMR-WB G Codec

Wideband Speech Encryption Based Arnold Cat Map for AMR-WB G Codec Wideband Speech Encryption Based Arnold Cat Map for AMR-WB G.722.2 Codec Fatiha Merazka Telecommunications Department USTHB, University of science & technology Houari Boumediene P.O.Box 32 El Alia 6 Bab

More information

Speech Coding in the Frequency Domain

Speech Coding in the Frequency Domain Speech Coding in the Frequency Domain Speech Processing Advanced Topics Tom Bäckström Aalto University October 215 Introduction The speech production model can be used to efficiently encode speech signals.

More information

Voice Excited Lpc for Speech Compression by V/Uv Classification

Voice Excited Lpc for Speech Compression by V/Uv Classification IOSR Journal of VLSI and Signal Processing (IOSR-JVSP) Volume 6, Issue 3, Ver. II (May. -Jun. 2016), PP 65-69 e-issn: 2319 4200, p-issn No. : 2319 4197 www.iosrjournals.org Voice Excited Lpc for Speech

More information

EUROPEAN pr ETS TELECOMMUNICATION November 1996 STANDARD

EUROPEAN pr ETS TELECOMMUNICATION November 1996 STANDARD FINAL DRAFT EUROPEAN pr ETS 300 723 TELECOMMUNICATION November 1996 STANDARD Source: ETSI TC-SMG Reference: DE/SMG-020651 ICS: 33.060.50 Key words: EFR, digital cellular telecommunications system, Global

More information

Dct Based Image Transmission Using Maximum Power Adaptation Algorithm Over Wireless Channel using Labview

Dct Based Image Transmission Using Maximum Power Adaptation Algorithm Over Wireless Channel using Labview Dct Based Image Transmission Using Maximum Power Adaptation Over Wireless Channel using Labview 1 M. Padmaja, 2 P. Satyanarayana, 3 K. Prasuna Asst. Prof., ECE Dept., VR Siddhartha Engg. College Vijayawada

More information

SGN Audio and Speech Processing

SGN Audio and Speech Processing SGN 14006 Audio and Speech Processing Introduction 1 Course goals Introduction 2! Learn basics of audio signal processing Basic operations and their underlying ideas and principles Give basic skills although

More information

Chapter 2: Digitization of Sound

Chapter 2: Digitization of Sound Chapter 2: Digitization of Sound Acoustics pressure waves are converted to electrical signals by use of a microphone. The output signal from the microphone is an analog signal, i.e., a continuous-valued

More information

Factors impacting the speech quality in VoIP scenarios and how to assess them

Factors impacting the speech quality in VoIP scenarios and how to assess them HEAD acoustics Factors impacting the speech quality in Vo scenarios and how to assess them Dr.-Ing. H.W. Gierlich HEAD acoustics GmbH Ebertstraße 30a D-52134 Herzogenrath, Germany Tel: +49 2407/577 0!

More information

ENGR 4323/5323 Digital and Analog Communication

ENGR 4323/5323 Digital and Analog Communication ENGR 4323/5323 Digital and Analog Communication Chapter 1 Introduction Engineering and Physics University of Central Oklahoma Dr. Mohamed Bingabr Course Materials Textbook: Modern Digital and Analog Communication,

More information

3GPP TS V5.0.0 ( )

3GPP TS V5.0.0 ( ) TS 26.171 V5.0.0 (2001-03) Technical Specification 3rd Generation Partnership Project; Technical Specification Group Services and System Aspects; Speech Codec speech processing functions; AMR Wideband

More information

COMPUTER COMMUNICATION AND NETWORKS ENCODING TECHNIQUES

COMPUTER COMMUNICATION AND NETWORKS ENCODING TECHNIQUES COMPUTER COMMUNICATION AND NETWORKS ENCODING TECHNIQUES Encoding Coding is the process of embedding clocks into a given data stream and producing a signal that can be transmitted over a selected medium.

More information

NOISE ESTIMATION IN A SINGLE CHANNEL

NOISE ESTIMATION IN A SINGLE CHANNEL SPEECH ENHANCEMENT FOR CROSS-TALK INTERFERENCE by Levent M. Arslan and John H.L. Hansen Robust Speech Processing Laboratory Department of Electrical Engineering Box 99 Duke University Durham, North Carolina

More information

ON THE PERFORMANCE OF WTIMIT FOR WIDE BAND TELEPHONY

ON THE PERFORMANCE OF WTIMIT FOR WIDE BAND TELEPHONY ON THE PERFORMANCE OF WTIMIT FOR WIDE BAND TELEPHONY D. Nagajyothi 1 and P. Siddaiah 2 1 Department of Electronics and Communication Engineering, Vardhaman College of Engineering, Shamshabad, Telangana,

More information

EUROPEAN pr I-ETS TELECOMMUNICATION June 1996 STANDARD

EUROPEAN pr I-ETS TELECOMMUNICATION June 1996 STANDARD INTERIM DRAFT EUROPEAN pr I-ETS 300 302-1 TELECOMMUNICATION June 1996 STANDARD Second Edition Source: ETSI TC-TE Reference: RI/TE-04042 ICS: 33.020 Key words: ISDN, telephony, terminal, video Integrated

More information