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Found 6 papers, 1 papers with code
Leveraging Visemes for Better Visual Speech Representation and Lip Reading
We evaluate our approach on various tasks, including word-level and sentence-level lip reading, and audiovisual speech recognition using the Arman-AV dataset, a largescale Persian corpus.
Word-level Persian Lipreading Dataset
Lip-reading has made impressive progress in recent years, driven by advances in deep learning.
ArmanTTS single-speaker Persian dataset
TTS, or text-to-speech, is a complicated process that can be accomplished through appropriate modeling using deep learning methods.
A Multi-Purpose Audio-Visual Corpus for Multi-Modal Persian Speech Recognition: the Arman-AV Dataset
In addition, we have proposed a technique to detect visemes (a visual equivalent of a phoneme) in Persian.
Audio-Visual Speech Recognition
Automatic Speech Recognition
+5
ArmanEmo: A Persian Dataset for Text-based Emotion Detection
With the recent proliferation of open textual data on social media platforms, Emotion Detection (ED) from Text has received more attention over the past years.
Lip reading using external viseme decoding
Lip-reading is the operation of recognizing speech from lip movements.
