Signal Processing
This dataset contains audio recordings sourced from more than 57 TV shows provided by the Saudi Broadcasting Authority. The total number of hours published for these recordings is ~667 hours. The recordings are in Arabic, the majority are in Saudi dialects, and some are in other dialects. To enhance the usage of SADA, the dataset is split into training, validation, and testing sets. Each of validation and testing sets is around 10 hours in audio segments length while training set is 418 hours.
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A total of 6 subjects participated in the experiment with each for three times test.We activated antennas for transmitting Tx0 and for receiving Rx1-4 to obtain the raw-data during experiment. Meanwhile, DCA1000EVM is transferring the raw-data to PC. According to parameters that had been set, each raw-data is 12,800 KB to be utilized.
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163 Views
Synthetic EEG Dataset for CNN Training: Clean and Artifact-Contaminated Signals
This dataset consists of synthetically generated EEG and EMG signals designed for training Convolutional Neural Networks (CNNs) in artifact detection and removal. The dataset includes both clean EEG signals and EEG signals contaminated with simulated EMG artifacts from various sources.
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223 Views
Heart Rate Variability (HRV) parameters provide valuable insights into the autonomic nervous system’s regulation of the cardiovascular system in response to various physiological conditions, particularly during dynamic tasks. This dataset consists of ECG recordings obtained during the execution of three dynamic tasks based on the three-dimensional movement of the upper limb. The data is available in both .XLSX and .CSV formats, containing 166 rows and 21 columns, all of which correspond to HRV parameters such as RR intervals, heart rate, and frequency-domain measures.
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Introduced here is the Extended-Length Audio Dataset for Synthetic Voice Detection and Speaker Recognition (ELAD-SVDSR), a resource designed to advance research in synthetic voice (DeepFake) detection and automatic speaker recognition (ASR). It features around 45-minute audio recordings from 36 participants, each of whom read aloud different newspaper articles during controlled sessions, captured with five different high-quality microphones. Synthetic voices generated from 20 subjects of this dataset using open-source and commercial software are also included.
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The Clarkson University Affective Data Set (CUADS) is a multi-modal affective dataset designed to assist in machine learning model development for automated emotion recognition. CUADS provides electrocardiogram, photoplethysmogram, and galvanic skin response data from 38 participants, captured under controlled conditions using Shimmer3 ECG and GSR sensors. ECG, GSR and PPG signals were recorded while each participant viewed and rated 20 affective movie clips. CUADS also provides big five personality traits for each participant.
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181 Views
This compressed file contains the original data (`.fig` files) of Figures 8 and 9 from the research on transforming noisy RF oscillators. These data are crucial for validating the phase noise reduction scheme of VCOs. They can provide in - depth insights into the impact of different LPF bandwidths and gains on phase noise, facilitating further research and verification in this field.
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This dataset was produced as part of the NANCY project (https://nancy-project.eu/), with the aim of using it in the fields of communication and
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289 Views
GNSS-R Data for the paper: First Shipborne GNSS-R Ultra-long Observation Utilizing Oceangoing Freighter
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This dataset contains samples of the scattered field from a set of flat metallic objects. It includes several files corresponding to eight different measurement planes, where the distances between the plane containing the antennas and the plane containing the targets are 74.3913 cm, 66.4120 cm, 61.4173 cm, 56.4063 cm, 51.4131 cm, 46.3873 cm, 41.4244 cm, and 36.4289 cm. The measurement setup corresponds to a multistatic L-shaped configuration.
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218 Views