'Auditory scene analysis' presentation slideshows

An Auditory Scene Analysis Approach to Speech Segregation

An Auditory Scene Analysis Approach to Speech Segregation. DeLiang Wang Perception and Neurodynamics Lab The Ohio State University. Outline of presentation. Introduction Speech segregation problem Auditory scene analysis (ASA) approach

767 views • 41 slides

Perceptual Organization

Perceptual Organization. Perfecto Herrera. Introductory sound examples. Perceptual Organization.

1.58k views • 40 slides

The Perception of Speech

The Perception of Speech. Speech. Speech is for rapid communication Speech is composed of units of sound called phonemes examples of phonemes: /ba/ in bat , /pa/ in pat. Acoustic Properties of Speech. Speech can be characterized by a spectrogram. Acoustic Properties of Speech.

827 views • 39 slides

Development of Auditory B ehavior : Hearing Science

Development of Auditory B ehavior : Hearing Science. Lynne A. Werner University of Washington. Hearing develops, but. What is developing?. Hearing in a nutshell. Sound encoding Constructing the auditory scene Dissecting the complex signal. Hearing in a nutshell: Sound encoding.

505 views • 39 slides

Auditory Localization and Music Perception

Auditory Localization and Music Perception. Objectives: Be able to. Define interaural time difference, phase difference, sound shadow, and directional transfer difference. Discuss the factors affecting auditory localization in humans.

887 views • 37 slides

Robust Automatic Speech Recognition by Transforming Binary Uncertainties

Robust Automatic Speech Recognition by Transforming Binary Uncertainties. DeLiang Wang (Jointly with Dr. Soundar Srinivasan) Oticon A/S, Denmark (On leave from Ohio State University, USA). Outline of presentation. Background The robustness problem in automatic speech recognition (ASR)

528 views • 36 slides

Auditory Segmentation and Unvoiced Speech Segregation

Auditory Segmentation and Unvoiced Speech Segregation. DeLiang Wang & Guoning Hu Perception & Neurodynamics Lab The Ohio State University. Outline of presentation. Introduction Auditory scene analysis Unvoiced speech problem Auditory segmentation based on event detection

535 views • 36 slides

Robust Automatic Speech Recognition by Transforming Binary Uncertainties

Robust Automatic Speech Recognition by Transforming Binary Uncertainties. DeLiang Wang (Jointly with Dr. Soundar Srinivasan) Oticon A/S, Denmark (On leave from Ohio State University, USA). Outline of presentation. Background The robustness problem in automatic speech recognition (ASR)

369 views • 36 slides

Models of Neural Encoding in the Auditory System

628 views • 35 slides

Auditory scene analysis Day 15

Auditory scene analysis Day 15. Music Cognition MUSC 495.02, NSCI 466, NSCI 710.03 Harry Howard Barbara Jazwinski Tulane University. Course administration. Spend provost's money. Goals for today. Statement of the problem. The ball-room problem Helmholtz (1863).

537 views • 35 slides

Cocktail Party Processing

Cocktail Party Processing. DeLiang Wang (Jointly with Guoning Hu) Perception & Neurodynamics Lab Ohio State University. Outline of presentation. Introduction Voiced speech segregation based on pitch tracking and amplitude modulation analysis

450 views • 35 slides

Cocktail Party Processing

Cocktail Party Processing. DeLiang Wang (Jointly with Guoning Hu) Perception & Neurodynamics Lab Ohio State University. Outline of presentation. Introduction Voiced speech segregation based on pitch tracking and amplitude modulation analysis

363 views • 35 slides

Approaches of Interest in Blind Source Separation of Speech

Approaches of Interest in Blind Source Separation of Speech. Julien Bourgeois D AIMLER C HRYSLER AG Research and Technology , RIC/AD. 1. Background. - Need of speech-based Human-Machine Interface in cars.

286 views • 28 slides

Auditory Scene Analysis

Auditory Scene Analysis. Sequential vs. Simultaneous Organisation. Sequential grouping involves connecting components over time to form streams Simultaneous grouping involves grouping the components present at a given moment in time to create one or more perceived sounds

738 views • 27 slides

Overview from Virtual Reality, Scientific and Technical Challenges , NRC, 1995

Overview from Virtual Reality, Scientific and Technical Challenges , NRC, 1995. Summarized by Geb Thomas. Learning Objectives. Be able to describe the current areas of research related to SE. Be able to draw a system diagram differentiation teleoperation and virtual environments.

410 views • 27 slides

The Time Dimension for Scene Analysis

The Time Dimension for Scene Analysis. DeLiang Wang Perception & Neurodynamics Lab The Ohio State University, USA. Presentation outline. Introduction Scene analysis and temporal correlation theory Oscillatory Correlation LEGION network Oscillatory Correlation Approach to Scene Analysis

456 views • 26 slides

Timbre (pronounced like: Tamber)

363 views • 16 slides

Summary Discussion on Computational Audition

Summary Discussion on Computational Audition. Led by DeLiang Wang. A Comparison between Vision and Audition. Auditory features: Frequency, spectrum Pitch Location Onset/offset Motion (Doppler effect) Texture? AM/FM Rhythm, duration. Visual features: Color/luminance Orientation

186 views • 5 slides