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Audio-Visual Speech Recognition | Papers With Code
https://paperswithcode.com/task/audio-visual-speech-recognition
Audio-visual speech recognition is the task of transcribing a paired audio and visual stream into text. Benchmarks Add a Result These leaderboards are used to track progress in Audio-Visual Speech Recognition Datasets LRS3-TED CAS-VSR-W1k (LRW-1000) Most implemented papers Most implemented Social Latest No code Deep Audio-Visual Speech Recognition
Audio-Visual Speech Recognition - Papers With Code
https://paperswithcode.com/task/audio-visual-speech-recognition/codeless
Audio-Visual Speech Recognition is Worth 32 × 32 × 8 Voxels no code yet • 20 Sep 2021 In this work, we propose to replace the 3D convolutional visual front-end with a video transformer front-end. Audio-Visual Speech Recognition automatic-speech-recognition +4 Paper Add Code Large-vocabulary Audio-visual Speech Recognition in Noisy Environments
Audiovisual speech recognition: A review and forecast ...
https://journals.sagepub.com/doi/full/10.1177/1729881420976082
Multimodal learning using 3D audio-visual data for audio-visual speech recognition. In: 2017 International Conference on Asian Language Processing (IALP). Singapore, 5–7 December 2017, pp. 40 – 43. Washington, D.C. United States: IEEE. Google Scholar
Audio-Visual Database for Spanish-Based Speech …
https://link.springer.com/chapter/10.1007%2F978-3-030-33749-0_36
Abstract. Automatic speech recognition involves an understanding of what is being said. It can be audio-based, visual-based, or audio/visual-based according to the type of inputs. Modern speech recognition systems are based on machine learning techniques, such as deep learning. Deep learning systems improve their performance when more data are used to train …
Visual Speech Recognition - Papers With Code
https://paperswithcode.com/task/visual-speech-recognition
4 Paper Code Deep Audio-Visual Speech Recognition lordmartian/deep_avsr • • 6 Sep 2018 The goal of this work is to recognise phrases and sentences being spoken by a talking face, with or without the audio. 2 Paper Code LRW-1000: A Naturally-Distributed Large-Scale Benchmark for Lip Reading in the Wild Fengdalu/Lipreading-DenseNet3D • • 16 Oct 2018
RAVDESS | SMART Lab
https://smartlaboratory.org/ravdess/
The Ryerson Audio-Visual Database of Emotional Speech and Song (RAVDESS) contains 7356 files (total size: 24.8 GB). The database contains 24 professional actors (12 female, 12 male), vocalizing two lexically-matched statements in a neutral North American accent.
The Ryerson Audio-Visual Database of Emotional Speech and ...
https://journals.plos.org/plosone/article/file?id=10.1371/journal.pone.0196391&type=printable
The RAVDESS is a validated multimodal database of emotional speech and song. The data- base is gender balanced consisting of 24 professional actors, vocalizing lexically-matched statements in a neutral North American accent. Speech includes calm, happy, sad, angry,
Design and Recording of Czech Audio-Visual …
http://www.lrec-conf.org/proceedings/lrec2008/pdf/316_paper.pdf
The corpus is intended for training and testing of existing audio-visual speech recognition system. The name of the database is UWB-07-ICAVR, where ICAVR stands for Impaired Condition Audio Visual speech Recognition. The corpus consist of 10000 utterances of continuous speech obtained from 50 speakers. The total length of the database is 25 hours.
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