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Bark scale
Separation of Vocal and Non-Vocal Components from Audio Clip Using Correlated Repeated Mask (CRM)
Psychological Measurement for Sound Description and Evaluation 11
Design of a Protocol for the Measurement of Physiological and Emotional Responses to Sound Stimuli
Comparison of Frequency-Warped Filter Banks in Relation to Robust Features for Speaker Identification
Fundamentals of Psychoacoustics Psychophysical Experimentation
Abstract 1. Introduction the Process of Normalising Vowel Formant Data To
Perceptual Atomic Noise
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A Parametric Sound Object Model for Sound Texture Synthesis
On Musiquantics
Psychoacoustics: a Brief Historical Overview
Psychoacoustics & Hearing
Chapter 2 Principles of Psychoacoustics
Course Syllabus: AEC 441 – Biology of Fishes
Distances in PR, Audio and Image
Bark Features for Identifying Resonance Spruce Standing Timber
Riprap Journal
Soundgen: Sound Synthesis and Acoustic Analysis
Top View
Evaluation of Psychoacoustic Sound Parameters for Sonification
Lecture 17: Spectral Transformations
Assessing the Strength of Non-Contemporaneous Forensic Speech Evidence
1 Introduction
Techniques for Feature Extraction in Speech Recognition System : a Comparative Study
Quantifying Pitch—Logarithms Just Noticeable Difference Direct
Music Information Retrieval: Part 2 Feature Extraction, Evaluation, Applications
Bark and ERB Bilinear Transforms
INFORMATION to USERS the Most Advanced Technology Has Been
Psychoacoustics
Audio Processing and Indexing 1
Global Positioning Systems: Over Land and Under Sea Design Quieter Gearboxes with Multiphysics Simulation
Tempo-Invariant Processing of Rhythm with Convolutional Neural Networks
Download Preprint
15 Daws (1256-1291):Presentations
Copyrighted Material
Tuesday Morning, 3 December 2013 Golden Gate 4/5, 8:00 A.M. to 11:45 A.M
Bark-Shift Based Nonlinear Speaker Normalization Using the Second Subglottal Resonance∗
Back to Front: a Socially-Stratified Ultrasound Tongue Imaging Study of Scottish English /U
Perceptual Spectral Matching Utilizing Mel-Scale Filterbanks for Statistical
2010 9 Sep.Pdf
Differences of Loudness Algorithms Across the Frequency Spectrum
ECMA-418-2 Psychoacoustic Metrics for ITT Equipment
AUTOMATIC CLASSIFICATION of ANIMAL VOCALIZATIONS By
2016 Drum & Percussion
Psycho-Acoustics
Performance Evaluation of Mel and Bark Scale Based Features for Text-Independent Speaker Identification
Single-Channel Source Separation of Audio Signals Using Bark Scale Wavelet Packet Decomposition
Dynamic Measurements of Wind Turbine Acoustic Signals, Employing