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2 results for “Dioula”

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zenodo36/100

Vocal data in the Dioula language related to the numbers 1, 2, 3, and 4

<p>The dataset we have compiled for our research on &quot;Setting up a speech recognition model for under-resourced languages&quot; consists of audio recordings of Dioula speakers pronouncing the numbers 1, 2, 3, and 4. These recordings were collected under various conditions, featuring variability in speakers, accents, and environmental contexts. The data has been categorized into four distinct classes, each corresponding to one of the numbers (1, 2, 3, or 4), enabling the training and evaluation of a machine learning-based speech recognition model.</p>

opencc-by-4.0Sep 2023View details →
zenodo32/100

Voice data in Dioula language relating to the words Yes, No, Call, Next, Previous, Dial, Stop, True, False, Enter and Exit

<p><span>For this project entitled &ldquo;Development of a speech recognition model for under-resourced languages&rdquo;, the collected dataset includes audio recordings of native speakers of the Dioula language pronouncing a series of specific keywords such as &ldquo;Yes&rdquo;, &ldquo;No&rdquo;, &ldquo;Call&rdquo;, &ldquo;Next&rdquo;, &ldquo;Previous&rdquo;, &ldquo;Dial&rdquo;, &ldquo;Stop&rdquo;, &ldquo;True&rdquo;, &ldquo;False&rdquo;, &ldquo;Enter&rdquo; and &ldquo;Exit&rdquo;. These recordings were obtained in diverse environments, with a wide variety of speakers to ensure that the different tones, accents, and phonetic variations specific to Dioula are taken into account. Each audio file was assigned to a category corresponding to the spoken word, creating a class-structured dataset. This corpus will be used to train a speech recognition model using deep learning techniques, with the objective of improving recognition accuracy in real contexts. This database is essential for the design and evaluation of a model capable of facilitating access and voice interaction for the Dioula community.</span></p>

opencc-by-4.0Oct 2024View details →

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