Datasets:
Tasks:
Audio Classification
Modalities:
Audio
Formats:
soundfolder
Languages:
Tatar
Size:
1K - 10K
License:
Upload README.md with huggingface_hub
Browse files
README.md
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**Repository:** [https://github.com/IS2AI/TatarSCR](https://github.com/IS2AI/TatarSCR)
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**Summary:** This dataset contains 3,547 one-second speech command utterances from 153 speakers, encompassing 35 commands relevant to robotics, IoT, and smart systems. It was developed to address the lack of readily available Tatar language speech command datasets. The provided Keyword-MLP model was trained and tested on this dataset and is available for use with the dataset.
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**Abstract:** (Error extracting abstract from the provided URL) The paper introduces an open-source Tatar speech commands dataset designed for applications in IoT and robotics. The dataset comprises 3,547 one-second utterances from 153 individuals, covering 35 commands frequently used in these fields. A Keyword-MLP model was trained and evaluated on this dataset, and its code is also publicly available.
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| Number of Commands | 35 |
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| Number of Utterances | 3,547 |
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| Number of Speakers | 153 |
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| Audio Length | 1 second |
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**Citation:**
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**Repository:** [https://github.com/IS2AI/TatarSCR](https://github.com/IS2AI/TatarSCR)
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This repository contains an open-source Tatar speech commands dataset and associated resources for training and deploying a keyword spotting model. The dataset is designed for use in IoT and robotics applications.
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## Dataset Summary
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The Tatar Speech Commands Dataset (TSCD) consists of 3,547 one-second utterances of 35 commands commonly used in robotics, IoT, and smart systems. The data was collected from 153 different speakers. The dataset was preprocessed and augmented using the provided notebook. A Keyword-MLP model was trained on this dataset, and the code for training, testing, conversion to ONNX format, and inference (both PyTorch and ONNX) is included.
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## Dataset Statistics
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| Statistic | Value |
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| Number of Commands | 35 |
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| Number of Utterances | 3,547 |
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| Number of Speakers | 153 |
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| Audio Length | 1 second |
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## Model Details
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The provided code uses the Keyword-MLP model ([https://github.com/AI-Research-BD/Keyword-MLP](https://github.com/AI-Research-BD/Keyword-MLP)). Both PyTorch and ONNX runtime inference scripts are included.
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## Citation
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To cite this dataset and model, please use the following information:
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> Askat Kuzdeuov, Rinat Gilmullin, Bulat Khakimov, and Huseyin Atakan Varol. An Open-Source Tatar Speech Commands Dataset for IoT and Robotics Applications. TechRxiv. October 18, 2024, DOI: 10.36227/techrxiv.172926779.98914732/v1.
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