A Digital Technique for Music Identification Joel R. Martin Columbia University ELENE6886.

Slides:



Advertisements
Similar presentations
Improved ASR in noise using harmonic decomposition Introduction Pitch-Scaled Harmonic Filter Recognition Experiments Results Conclusion aperiodic contribution.
Advertisements

Time-frequency-domain modal identification of ambient vibration structures using Wavelet Transform Numerical example.
An Approach to ECG Delineation using Wavelet Analysis and Hidden Markov Models Maarten Vaessen (FdAW/Master Operations Research) Iwan de Jong (IDEE/MI)
University of Ioannina - Department of Computer Science Wavelets and Multiresolution Processing (Background) Christophoros Nikou Digital.
1 Image Authentication by Detecting Traces of Demosaicing June 23, 2008 Andrew C. Gallagher 1,2 Tsuhan Chen 1 Carnegie Mellon University 1 Eastman Kodak.
Audio Meets Image Retrieval Techniques Dave Kauchak Department of Computer Science University of California, San Diego
Artifact and Textured region Detection - Vishal Bangard.
ECE643 DIGITAL IMAGE PROCESSING Steganalysis versus Splicing detection Paper by: Yun Q. Shi, Chunhua Chen, Guorong Xuan and Wei Su By: Nehal Patel Siddharth.
Multivariate Methods Pattern Recognition and Hypothesis Testing.
1 Speech Parametrisation Compact encoding of information in speech Accentuates important info –Attempts to eliminate irrelevant information Accentuates.
LYU0103 Speech Recognition Techniques for Digital Video Library Supervisor : Prof Michael R. Lyu Students: Gao Zheng Hong Lei Mo.
CO 2 Data Analysis Filter : Wavelet vs. EMD. EMD as Filter.
3. Introduction to Digital Image Analysis
Multiresolution Analysis (Section 7.1) CS474/674 – Prof. Bebis.
LYU0203 Smart Traveller with Visual Translator for OCR and Face Recognition Supervised by Prof. LYU, Rung Tsong Michael Prepared by: Wong Chi Hang Tsang.
Image Tampering Detection Using Bayesian Analytical Methods 04/11/2005 As presented by Jason Kneier ELEN E6886 Spring 2005.
University at BuffaloThe State University of New York WaveCluster A multi-resolution clustering approach qApply wavelet transformation to the feature space.
A Comparison of Manual and Automatic Melody Segmentation Massimo Melucci Nicola Orio.
1 How Realistic is Photorealistic?. 2 Yaniv Lefel Hagay Pollak Based on the work of - Siwei Lyu and Hany Farid.
Frontera Digital Audio Archive Sponsors Digital Library Program Music Library Chicano Studies Research Center Arhoolie Foundation Los Tigres del Norte.
Multimedia Security Digital Video Watermarking Supervised by Prof. LYU, Rung Tsong Michael Presented by Chan Pik Wah, Pat Nov 20, 2002 Department of Computer.
By Shiyu Luo Dec Outline Motivation and Goal Methods Feature extractions MLP Classification Results Analysis and conclusion References.
ENG4BF3 Medical Image Processing
CS448f: Image Processing For Photography and Vision Wavelets Continued.
Audio Retrieval David Kauchak cs458 Fall Administrative Assignment 4 Two parts Midterm Average:52.8 Median:52 High:57 In-class “quiz”: 11/13.
Identifying Computer Graphics Using HSV Model And Statistical Moments Of Characteristic Functions Xiao Cai, Yuewen Wang.
Applications of Independent Component Analysis Terrence Sejnowski Computational Neurobiology Laboratory The Salk Institute.
IIS for Image Processing Michael J. Watts
Multiple Image Watermarking Applied to Health Information Management
Steganalysis of audio: attacking the Steghide
Understanding The Semantics of Media Chapter 8 Camilo A. Celis.
A hybrid SOFM-SVR with a filter-based feature selection for stock market forecasting Huang, C. L. & Tsai, C. Y. Expert Systems with Applications 2008.
Investigation of the use of signal processing techniques in automatic music engraving Patrick Freer Honours Project Presentation.
Color These are random examples of color which I found interesting.
Singer Similarity Doug Van Nort MUMT 611. Goal Determine Singer / Vocalist based on extracted features of audio signal Classify audio files based on singer.
Content Based Color Image Retrieval vi Wavelet Transformations Information Retrieval Class Presentation May 2, 2012 Author: Mrs. Y.M. Latha Presenter:
Chapter 20 Speech Encoding by Parameters 20.1 Linear Predictive Coding (LPC) 20.2 Linear Predictive Vocoder 20.3 Code Excited Linear Prediction (CELP)
Automatic Transcription System of Kashino et al. MUMT 611 Doug Van Nort.
Digital Image Forensics CS 365 By:- - Abhijit Sarang - Pankaj Jindal.
Engineering Mechanical Laboratory Identification of System’s Dynamic Parameters by NAV and CRW Engineering Mechanical Laboratory, NAV.
1 Detecting Hidden Messages using higher-order stats and SVMs Siwei Lyu and Hany Farid.
David Andrzejewski, Univ. of Wisconsin-Madison (USA) David G. Stork, Ricoh Innovations, Inc. and Stanford Univ. (USA) Xiaojin Zhu, Univ. of Wisconsin-Madison.
Enlargement Simple scale factors. Find the scale factor and the missing length ?
Multiresolution Analysis (Section 7.1) CS474/674 – Prof. Bebis.
Data statistics and transformation revision Michael J. Watts
Bayesian fMRI analysis with Spatial Basis Function Priors
Machine Learning with Spark MLlib
Topic: Waveforms in Noesis
Beyond the Words: Predicting User Personality from Heterogeneous Information Presenter: Benyi Gong.
Data Mining Soongsil University
Debesh Jha and Kwon Goo-Rak
Multiresolution Analysis (Chapter 7)
Spatial Filtering with a multibeam receiver.
Copy–move forgery detection through stationary wavelets and local binary pattern variance for forensic analysis in digital images  Toqeer Mahmood, Aun.
ONR MURI area: High Confidence Real-Time Misuse and Anomaly Detection
IIS for Image Processing
Advertising Design ALBUM COVERS.
Soma Mukherjee for LIGO Science Collaboration
CS Digital Image Processing Lecture 9. Wavelet Transform
IMAGE FORGERY DETECTION
GAUSSIAN PROCESS REGRESSION WITHIN AN ACTIVE LEARNING SCHEME
Ala’a Spaih Abeer Abu-Hantash Directed by Dr.Allam Mousa
Making a mathematical model
Stylometry and Authorship
Mark Chavira Ulises Robles
Wavelet transform application – edge detection
I can determine the different sampling techniques used in real life.
Method vs Perspective Geographic Method: using geographic information to describe the earth Geographic Perspective: a geographic grid through which information.
An image adaptive, wavelet-based watermarking of digital images
Presentation transcript:

A Digital Technique for Music Identification Joel R. Martin Columbia University ELENE6886

Same Techniques Lyu, S., Rockmore D. & Farid, H. (2004) Digital Technique for Art Authentication

What Techniques? 2D Wavelet decomposition Lyu, S., Rockmore D. & Farid, H. (2004) Digital Technique for Art Authentication

What Techniques? 1D Wavelet decomposition

Feature Extraction 2D Prediction

Feature Extraction 1D Prediction

Feature Extraction 1D

Multi-Dimensional Scaling

Parameters P-value Sub-sample length Filter 020kHz

Goals Compare clustering for a variety of musicians Compare real vs. imposter

Lyu, S., Rockmore D. & Farid, H. (2004) Digital Technique for Art Authentication