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The Audio-Visual Lombard Grid Speech corpus
http://spandh.dcs.shef.ac.uk/avlombard/
The Grid Audio-Visual Speech Corpus | Zenodo
https://zenodo.org/record/3625687
The Grid Audio-Visual Speech Corpus. Cooke, Martin; Barker, Jon; Cunningham, Stuart; Shao, Xu. The Grid Corpus is a large multitalker audiovisual sentence corpus designed to support joint computational-behavioral studies in speech perception. In brief, the corpus consists of high-quality audio and video (facial) recordings of 1000 sentences spoken by each of 34 …
(PDF) Comparison of Feature Extraction and …
https://www.researchgate.net/publication/337198610_Comparison_of_Feature_Extraction_and_Normalization_Methods_for_Speaker_Recognition_Using_GRID-Audiovisual_Database
zero coefficients for 8 different speakers (6 male, 2 f emale) from the GRID-Audiovisual database. Then, feature normalizations methods are employ ed (CMVN and feature warping) to the feature ...
The Natural Statistics of Audiovisual Speech
https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1000436
GRID corpus. The bulk of our analyses used the GRID corpus, a large multi-talker audiovisual sentence corpus in British English with high quality audio and video recordings . The corpus consists of 34 speakers each producing 1000 sentences, and each sentence in this database contained six words including a command, color, preposition, letter, digit, and adverb.
Comparison of feature extraction and normalization methods ...
http://ijeecs.iaescore.com/index.php/IJEECS/article/download/20106/13706
work is conducted by employing the GRID-Audiovisual database [15]. Then, based on a person’s voice, identification can be established. In addition, diverse feature extraction and feature normalization methods are employed such as the Mel Frequency Cepstral Coefficients (MFCCs) and the Power Normalized Cepstral Coefficients (PNCCs).
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