'Acoustic features' diaporamas de présentation

Articulatory Feature-Based Speech Recognition

word. word. ind 1. ind 1. U 1. U 1. sync 1,2. sync 1,2. S 1. S 1. ind 2. ind 2. U 2. U 2. sync 2,3. sync 2,3. S 2. S 2. ind 3. ind 3. U 3. U 3. S 3. S 3. Articulatory Feature-Based Speech Recognition. JHU WS06 Final team presentation August 17, 2006. Project Participants.

2.08k views • 190 slides

Speech: Fundamentals CS 3710 / ISSP 3565

Speech: Fundamentals CS 3710 / ISSP 3565. (Slides modified from D. Jurafsky ). Outline. Acoustic Phonetics and Signals Prosodic Analysis. The Big Picture. Chapter 7: The idea that the spoken word is composed of smaller units of speech is implicit in sound-based writing systems

898 views • 71 slides

John-Paul Hosom Alexander Kain Akiko Kusumoto

Determining Which Acoustic Features Contribute Most to Speech Intelligibility. John-Paul Hosom Alexander Kain Akiko Kusumoto. hosom@cslu.ogi.edu. Center for Spoken Language Understanding (CSLU) OGI School of Science & Engineering Oregon Health & Science University (OHSU).

651 views • 52 slides

Aug. 14, 2009 NCMMSC2009 Masato AKAGI ??????? , Professor School of Information Science,

Multi-layer model for expressive speech perception and its application to expressive speech synthesis. Aug. 14, 2009 NCMMSC2009 Masato AKAGI ??????? , Professor School of Information Science, Japan Advanced Institute of Science and Technology. BASIC CONCEPTS.

532 views • 45 slides

Affective computing course

703 views • 41 slides

Acoustics of Speech

881 views • 33 slides

Emotion in Meetings: Business and Personal

387 views • 32 slides

Introduction to Russian phonology and word structure

Introduction to Russian phonology and word structure. Ch. 2: Introduction to phonetics. Q&A. Why is it that phones are not symbols?. Q&A. Why is it that phones are not symbols? Because they do not in themselves bear meaning. Q&A. Why would * ???? be better than ??? ?. Q&A.

372 views • 24 slides

Mohamad Hasan Bahari Hugo Van hamme

Age and Gender Recognition from Speech Patterns Based on Supervised Non-Negative Matrix Factorization. Mohamad Hasan Bahari Hugo Van hamme. Outline. Introduction and Motivations Age and Gender Recognition Corpora Supervised Non-negative Matrix Factorization Proposed Method Results

423 views • 24 slides

Arindam Jati 1 , Paula G. Williams 2 , Brian Baucom 2 , Panayiotis Georgiou 1

TOWARDS PREDICTING PHYSIOLOGY FROM SPEECH DURING STRESSFUL CONVERSATIONS: HEART RATE AND RESPIRATORY SINUS ARRHYTHMIA. Arindam Jati 1 , Paula G. Williams 2 , Brian Baucom 2 , Panayiotis Georgiou 1 1 University of Southern California, Department of Electrical Engineering, CA, USA

249 views • 24 slides

Overview of Normal Speech

318 views • 21 slides

Mobile Equipment Warning Signal Detection in Noise

Mobile Equipment Warning Signal Detection in Noise. Chantal Laroche, Ph.D. A udiology-SLP Program U niversity of Ottaw a. AIHce, June 5 th New Orleans. PROBLEM. Each year, serious accidents occur in noisy workplaces because a warning sound is not heard.

328 views • 20 slides

Mobile Equipment Warning Signal Detection in Noise

Mobile Equipment Warning Signal Detection in Noise. Chantal Laroche, Ph.D. A udiology-SLP Program U niversity of Ottaw a. AIHce, June 5 th New Orleans. PROBLEM. Each year, serious accidents occur in noisy workplaces because a warning sound is not heard.

284 views • 20 slides

Automatic Prosody Labeling Final Presentation

Automatic Prosody Labeling Final Presentation. Andrew Rosenberg ELEN 6820 - Speech and Audio Processing and Recognition 4/27/05. Overview. Project Goal ToBI standard for prosodic labeling Previous Work Method Results Conclusion. Project Goal:.

307 views • 17 slides

Peter Bell and Steve Renals

Regularization of context-dependent deep neural networks with context-independent multi-task training. Peter Bell and Steve Renals. 2015/11/10 Ming-Han Yang. Outline. Abstract Introduction Context Modelling in DNNs Methodology Baseline DNN system Regularization and multitask learning

153 views • 14 slides

Multiband With Contaminated Training Data Results on AURORA 2

228 views • 10 slides