NDLI: Multi-Modal Speech Recognition Using Optical-Flow Analysis for Lip Images

Content Provider	Springer Nature Link
Author	Tamura, Satoshi Iwa, Koji Furui, Sadaoki
Copyright Year	2004
Abstract	This paper proposes a multi-modal speech recognition method using optical-flow analysis for lip images. Optical flow is defined as the distribution of apparent velocities in the movement of brightness patterns in an image. Since the optical flow is computed without extracting the speaker's lip contours and location, robust visual features can be obtained for lip movements. Our method calculates two kinds of visual feature sets in each frame. The first feature set consists of variances of vertical and horizontal components of optical-flow vectors. These are useful for estimating silence/pause periods in noisy conditions since they represent movement of the speaker's mouth. The second feature set consists of maximum and minimum values of integral of the optical flow. These are expected to be more effective than the first set since this feature set has not only silence/pause information but also open/close status of the speaker's mouth. Each of the feature sets is combined with an acoustic feature set in the framework of HMM-based recognition. Triphone HMMs are trained using the combined parameter sets extracted from clean speech data. Noise-corrupted speech recognition experiments have been carried out using audio-visual data from 11 male speakers uttering connected digits. The following improvements of digit accuracy over the audio-only recognition scheme have been achieved when the visual information was used only for silence HMM: 4% at SNR = 5 dB and 13% at SNR = 10 dB using the integral information of optical flow as the visual feature set.
Starting Page	117
Ending Page	124
Page Count	8
File Format	PDF
ISSN	09225773
Journal	Journal of Signal Processing Systems
Volume Number	36
Issue Number	2-3
Language	English
Publisher	Kluwer Academic Publishers
Publisher Date	2004-02-01
Publisher Place	Boston
Access Restriction	Subscribed
Subject Keyword	Signal, Image and Speech Processing Circuits and Systems Electrical Engineering Image Processing and Computer Vision Pattern Recognition Computer Imaging, Vision, Pattern Recognition and Graphics
Content Type	Text
Resource Type	Article
Subject	Signal Processing Information Systems Electrical and Electronic Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Toward Robust Speech Recognition and Understanding

Optical Clock Distribution in Electronic Systems

Iris Recognition Using Wavelet Features

A Pipeline Architecture for Processing of DNA Microarrays Images

Independent Component Analysis by Using Joint Cumulants and its Application to Remote Sensing Images

Flexible Independent Component Analysis

Approximate Signal Processing

Neuro-Fuzzy Approach to the Segmentation of Psoriasis Images

A Region-Based Representation of Images in MARS

Multi-Modal Speech Recognition Using Optical-Flow Analysis for Lip Images

Similar Documents

Toward Robust Speech Recognition and Understanding

Optical Clock Distribution in Electronic Systems

Iris Recognition Using Wavelet Features

A Pipeline Architecture for Processing of DNA Microarrays Images

Independent Component Analysis by Using Joint Cumulants and its Application to Remote Sensing Images

Flexible Independent Component Analysis

Approximate Signal Processing

Neuro-Fuzzy Approach to the Segmentation of Psoriasis Images

A Region-Based Representation of Images in MARS

Multi-Modal Speech Recognition Using Optical-Flow Analysis for Lip Images