Maximum entropy and MCE based HMM stream weight estimation for audio-visual ASR

No abstract is available for this paper.

• Publication year

  2002

• Venue

  IEEE International Conference on Acoustics, Speech, and Signal Processing

• Publication date

  2002-05-13

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1109/ICASSP.2002.5743873
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Audio-Visual Speech Recognition

  2004cited by this paper
• Asynchronous stream modeling for large vocabulary audio-visual speech recognition

  2001cited by this paper
• Audio-Visual Speech Modeling for Continuous Speech Recognition

  2000cited by this paper
• Discriminative training of HMM stream exponents for audio-visual speech recognition

  1998cited by this paper
• Multi-band speech recognition in noisy environments

  1998cited by this paper
• Word-dependent acoustic-labial weights in HMM-based speech recognition

  1997cited by this paper
• Maximum likelihood weighting of dynamic speech features for CDHMM speech recognition

  1997cited by this paper
• A Maximum Entropy Approach to Natural Language Processing

  1996cited by this paper
• NOTES ON PRESENT STATUS AND FUTURE PROSPECTS

  1991cited by this paper
• Maximum mutual information estimation of HMM parameters for continuous speech recognition using the N-best algorithm

  1990cited by this paper

• Joint Audio-Ultrasound Food Recognition for Noisy Environments

  2020cites this paper
• Attention-Based Multimodal Fusion for Video Description

  2017cites this paper
• Audio and visual modality combination in speech processing applications

  2017cites this paper
• Noise-robust HMM-based pattern recognition using multimodal features and observation uncertainties

  2016cites this paper
• Stream weight estimation using higher order statistics in multi-modal speech recognition

  2015cites this paper
• Learning Dynamic Stream Weights For Coupled-HMM-Based Audio-Visual Speech Recognition

  2015cites this paper
• Audiovisual Fusion: Challenges and New Approaches

  2015cites this paper
• A newem estimationof dynamic stream weights for coupled-HMM-based audio-visual ASR

  2014cites this paper
• Robust Audio-Visual Speech Recognition Under Noisy Audio-Video Conditions

  2014cites this paper
• Dynamic stream weight estimation in coupled-HMM-based audio-visual speech recognition using multilayer perceptrons

  2014cites this paper
• Multiscale Fractal Analysis of Musical Instrument Signals With Application to Recognition

  2013cites this paper
• A Framework for Integrating Heterogeneous Sporadic Knowledge Sources into Automatic Speech Recognition

  2013cites this paper
• On Dynamic Stream Weighting for Audio-Visual Speech Recognition

  2012cites this paper
• Design of Simulator for Automatic Voice Signal Detection and Compression (AVSDC)

  2012cites this paper
• Advances in Automatic Speech Recognition: From Audio-Only To Audio-Visual Speech Recognition

  2012cites this paper
• A Framework for Hand Gesture Recognition Based on Accelerometer and EMG Sensors

  2011cites this paper
• Multi-sensory features for personnel detection at border crossings

  2011cites this paper
• Modality Integration Methods

  2010cites this paper
• On‐Line Linear Combination of Classifiers Based on Incremental Information in Speaker Verification

  2010cites this paper
• Audio-visual speech recognition system for a robot

  2010cites this paper
• Two-layered audio-visual integration in voice activity detection and automatic speech recognition for robots

  2010cites this paper
• Audiovisual Information Fusion in Human–Computer Interfaces and Intelligent Environments: A Survey

  2010cites this paper
• Generalized multi-stream hidden markov models

  2010cites this paper
• Two-layered audio-visual speech recognition for robots in noisy environments

  2010cites this paper
• AUDIO-VISUAL RELIABILITY ESTIMATES USING STREAM ENTROPY FOR SPEECH RECOGNITION

  2009cites this paper
• Multimodal feature extraction and fusion for audio-visual speech recognition

  2009cites this paper
• Using entropy as a stream reliability estimate for audio-visual speech recognition

  2008cites this paper
• Stream weight tuning in dynamic Bayesian networks

  2008cites this paper
• Mutual Information Based Dynamic Integration of Multiple Feature Streams for Robust Real-Time LVCSR

  2008cites this paper
• Dynamic modality weighting for multi-stream hmms inaudio-visual speech recognition

  2008cites this paper
• Stream weight estimation for multistream audio-visual speech recognition in a multispeaker environment

  2008cites this paper
• Discriminative training by iterative linear programming optimization

  2008cites this paper
• Polyphase speech recognition

  2008cites this paper
• DISCRIMINATIVE TRAINING OF STREAM WEIGHTS IN A MULTI-STREAM HMM AS A LINEAR PROGRAMMING PROBLEM by NG , YIK LUN

  2008influential citation
• SNR-Adaptive Stream Weighting for Audio-MES ASR

  2008cites this paper
• Dynamic approaches for real-time LVCSR

  2008cites this paper
• DISCRIMINATIVE TRAINING OF STREAM WEIGHTS IN A MULTI-STREAM HMM AS A LINEAR PROGRAMMING PROBLEM

  2008influential citation
• Multi-stream Fusion for Speaker Classification

  2007cites this paper
• Dynamic Stream Weight Modeling for Audio-Visual Speech Recognition

  2007cites this paper
• Discriminative speaker adaptation using articulatory features

  2007cites this paper
• English sentence stress detection system based on HMM framework

  2007cites this paper
• Audio-visual integration for robust speech recognition using maximum weighted stream posteriors

  2007cites this paper
• Adaptive stream reliability modeling based on local dispersion measures for audio visual speech recognition

  2005cites this paper
• A new posterior based audio-visual integration method for robust speech recognition

  2005cites this paper
• Articulatory features for conversational speech recognition

  2005cites this paper
• Combination and generation of parallel feature streams for improved speech recognition

  2005cites this paper
• Audio-Visual Automatic Speech Recognition: An Overview

  2004cites this paper
• Recent advances in the automatic recognition of audiovisual speech

  2003influential citation
• Visual Features Extracting & Selecting for Lipreading

  2003cites this paper
• Asynchrony modeling for audio-visual speech recognition

  2002cites this paper
• Modélisation et Expérimentation pour le Traitement des Informations et des Signaux Sonores

  2002cites this paper
• Discriminatively Structured Graphical Models for Speech Recognition The Graphical Models Team JHU 2001 Summer Workshop

  2001cites this paper