IoT Speech Command Dataset
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/qas-lab/BarovicREU
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资源简介：
该数据集是由Arduino Nano 33 BLE Sense微控制器板载麦克风收集的，时长超过一小时的音频数据组成，专为涉及23个不同关键词的语音识别任务而设计。每个关键词大约包含一分三十秒的录音数据，这些数据被划分为训练集（占80%）和测试集（占20%）。此外，数据集还包含了用于背景噪声的一般噪声数据。该任务的目的是进行语音识别。
This dataset consists of over one hour of audio data collected using the on-board microphone of the Arduino Nano 33 BLE Sense microcontroller, and is specifically designed for speech recognition tasks involving 23 distinct keywords. Each keyword has approximately 90 seconds of recorded audio, which is split into an 80% training set and a 20% test set. Additionally, the dataset includes general background noise data. The objective of the task supported by this dataset is speech recognition.
提供机构：
Research team
