VSR has received a great deal of attention in the last decade for its potential use in applications such as human-computer interaction (HCI), audio-visual speech recognition (AVSR), speaker recognition, talking heads, sign language recognition and video surveillance. Its main aim is to recognise...
pyVSR is a Python toolkit aimed at running Visual Speech Recognition (VSR) experiments in a traditional framework (e.g. handcrafted visual features, Hidden Markov Models for pattern recognition). The main goal of pyVSR is to easily reproduce VSR experiments in order to have a baseline result ...
Visual speech recognition (VSR) is a method of reading speech by noticing the lip actions of the narrators. Visual speech significantly depends on the visual features derived from the image sequences. Visual speech recognition is a stimulating process that poses various challenging tasks to human ...
Recognition for Multiple Languages, which is the successor ofEnd-to-End Audio-Visual Speech Recognition with Conformers. By using this repository, you can achieve the performance of 19.1%, 1.0% and 0.9% WER for automatic, visual, and audio-visual speech recognition (ASR, VSR, and AV-ASR) ...
Visual Speech Recognition (VSR) is an appealing technology for predicting and analyzing spoken language based on lip movements. Previous research in this area has primarily concentrated on leveraging both audio and visual cues to achieve enhanced accuracy in speech recognition. However, existing solutions...
This paper presents the development of a novel visual speech recognition (VSR) system based on a new representation that extends the standard viseme concept (that is referred in this paper to as Visual Speech Unit (VSU)) and Hidden Markov Models (HMM). The visemes have been regarded as the...
Viseme-based Visual Speech Recognition (VSR) systems, using Hidden Markov Models (HMM) for phoneme recognition, generally use 3-state left-right HMM for each viseme to recognize. In this article, we propose a novel approach introducing a consonant-vowel detector and using two classifiers: an HMM...
First of all, we show the design process for an isolated word audio speech recognition system (ASR) using Hidden Markov Models. Next, we show the design process for a speech recognition system using only video features (VSR,) and both audio and video features combined (AVSR). Finally, we...
The Visual Speech Recognition (VSR) system performance is highly influenced by the selection of visual features. These features are categorized into static and dynamic features. This work proposes to exploit both lip shape (static-geomet... N Radha,A Shahina,KA Nayeemulla - 《Procedia Computer ...
The code are based on the following two repositories, ESPNet and VSR for Multiple Languages. Citation If you find this work useful in your research, please cite the papers: @inproceedings{hong2023watch, title={Watch or Listen: Robust Audio-Visual Speech Recognition with Visual Corruption Modeling...