'Filter bank' presentation slideshows

Audio & Video Compression and its Application in Consumer Products

Audio & Video Compression and its Application in Consumer Products. Agenda. Introduction - The evolution of Audio/Video consumer products and the role of compression techniques. Audio & Video compression principles Audio compression Video compression Audio/Video synchronisation

1.6k views • 137 slides

Audio Segregation

Audio Segregation. 2010. 4. 26. Hyung-Min Park. Contents. Independent component analysis (ICA) Conventional methods for acoustic mixtures Filter bank approach to ICA Degenerate unmixing and estimation technique (DUET) Target speech enhancement Zero-crossing-based binaural processing

1.38k views • 115 slides

Speech Processing

Speech Processing. Short-Time Fourier Transform Analysis and Synthesis. Short-Time Fourier Transform Analysis and Synthesis Minimum-Phase Synthesis. Speech & Audio Signals are varying and can be considered stochastic signals that carry information.

1.14k views • 90 slides

2.5.4.1 Basics of Neural Networks

2.5.4.1 Basics of Neural Networks. 2.5.4.2 Neural Network Topologies. 2.5.4.2 Neural Network Topologies. 2.5.4.2 Neural Network Topologies. TDNN. 2.5.4.6 Neural Network Structures for Speech Recognition.

706 views • 64 slides

INTRODUCTION

INTRODUCTION. METHODS. RESULTS. CONCLUSION. Noise Robust Speech Recognition Group SB740. INTRODUCTION. METHODS. RESULTS. CONCLUSION. Standard feature extraction. Framing. FFT. Filter Bank. Cepstrum Coefficients. speech. features. INTRODUCTION. METHODS. RESULTS. CONCLUSION.

536 views • 37 slides

Presenter : ? ? ? Date : 2007/11/29

Another Point of View : FT - JTFA From Fourier Transform to Joint Time-Frequency Analysis. Presenter : ? ? ? Date : 2007/11/29. Graduate Institute of Electronics Engineering, National Taiwan University, Taipei 106, Taiwan. Outline. Fourier Transform Joint Time-Frequency Analysis

521 views • 31 slides

Wavelets and Multiresolution Processing (Background)

Digital Image Processing. Wavelets and Multiresolution Processing (Background). Christophoros Nikou cnikou@cs.uoi.gr. Wavelets and Multiresolution Processing. All this time, the guard was looking at her, first through a telescope, then through a microscope, and then through an opera glass.

1.1k views • 30 slides

Wavelet Transform

Wavelet Transform. A very brief look. Wavelets vs. Fourier Transform. In Fourier transform (FT) we represent a signal in terms of sinusoids FT provides a signal which is localized only in the frequency domain It does not give any information of the signal in the time domain.

603 views • 28 slides

Florian Schiel Venice International University Oct 2007

Speaker Recognition = Speaker Identification, Speaker Verification. Florian Schiel Venice International University Oct 2007. Agenda. See the Context Speech Recognition vs. Speaker Recognition Speaker Identification vs. Speaker Verification Speaker Recognition: Basics

523 views • 26 slides

Ground-Based Microwave Observation of Stratospheric Ozone

328 views • 24 slides

349 views • 19 slides

Using MCMC

Using MCMC. Separating MCMC from Bayesian Inference? Line fitting revisited A toy equaliser problem Some lessons A problem in film restoration/retouching. Articulate Probabilities [Bayesian Inference]. Try to see if you can integrate out nuisances. Derive the Posterior.

332 views • 18 slides

A Model of Binaural Processing Based on Tree-Structure Filter-Bank

A Model of Binaural Processing Based on Tree-Structure Filter-Bank. ??? , ??? , ??? , ??? ??????? ??????. Motivation.

273 views • 16 slides

279 views • 16 slides

Fundamentals of speech production and analysis

Fundamentals of speech production and analysis. Speech production and analysis: Web tutorium. Speech production Basic speech units: phoneme, syllable, word, phrase, sentence, speaking turn phone: subphonetic units, diphone, triphone, syllable as recognition units types of sounds:

303 views • 16 slides

Allen Y. Yang, John Wright, Shankar Sastry, Yi Ma

223 views • 15 slides

A Tutorial on MPEG/Audio Compression

246 views • 12 slides

8.3 MINIMUM VARIANCE SPECTRUM ESTIMATION

8.3 MINIMUM VARIANCE SPECTRUM ESTIMATION. STATISTICAL DIGITAL SIGNAL PROCESSING AND MODELING. Minimum Variance Spectrum Estimation. Develop the Minimum Variance (MV) method of spectrum estimation, which is an adaptation of the Maximum Likelihood Variance (MLM) developed by Capon.

686 views • 12 slides

III Digital Audio III.6 (Fr Oct 24) The MP3 algorithm with PAC

III Digital Audio III.6 (Fr Oct 24) The MP3 algorithm with PAC. The MP3 encoder chain. 5. Huffman Compression. Line. Audio Data. Subbands. Data Stream 2*16 to. Datastream Formatting to Frames etc. Quantization and Encoding ( Check of Quantization loop). Filter Bank 32 Subbands.

325 views • 11 slides

Speech Sound Production: Recognition Using Recurrent Neural Networks

Speech Sound Production: Recognition Using Recurrent Neural Networks. by: Eric Nutt ECE 539 December 2003.

168 views • 7 slides