*.wav

This is the raw normalized RAW sensor signals captured using our PXI 4464 ADC system. This dataset contains audio data recorded from a reference microphone GRAS 46BE and alongside other air based and contact based sensors.

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7 Views

The dataset consists of acoustic signals acquired from the surface of the knee of 14 subjects. The description of study group and methodology of the experiment can be found in the publication: https://doi.org/10.3390/s21196495.

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198 Views

We propose an algorithm based on linear prediction that can perform both the lossless and near-lossless compression of RF signals. The proposed algorithm is coupled with two signal detection methods to determine the presence of relevant signals and apply varying levels of loss as needed. The first method uses spectrum sensing techniques, while the second one takes advantage of the error computed in each iteration of the Levinson-Durbin algorithm. These algorithms have been integrated as a new pre-processing stage into FAPEC, a data compressor first designed for space missions.

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399 Views

We present Vocal92, a multivariate Cappella solo singing and speech audio dataset spanning around 146.73 hours sourced from volunteers. To the best of our knowledge, this is the first dataset of its kind that specifically focuses on a cappella solo singing and speech. Furthermore, we use two current state-of-the-art models to construct the singer recognition baseline system.

 

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14 Views

Touch-screens are the basic and convenient human-computer interface. They are extensively used in digital musical applications, where a complex action-perception loop is involved. Therefore, it is crucial to establish a rich vibrotacticle feedback to improve the quality of the user's interaction. This paper explores the capacity of Generative Adversarial Networks (GANs) to generate time-reversed signals that can achieve localized vibrotactile feedback on a rigid surface. 

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95 Views

A video dataset for the paper named "Analysis of ENF Signal Extraction From Videos Acquired by Rolling Shutters" submitted to IEEE Transactions on Information Forensics and Security (T-IFS) and under review.

If you used our dataset, please cite our paper as:

Jisoo Choi, Chau-Wai Wong, Hui Su, and Min Wu, "Analysis of ENF signal extraction from videos acquired by rolling shutters," submitted to IEEE Transactions on Information Forensics and Security (T-IFS), under review.

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192 Views

video dataset for the paper named "Analysis of ENF Signal Extraction From Videos Acquired by Rolling Shutters"

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180 Views

This data set contains information on cardiopulmonary signals that were recorded simultaneously. The signals are separated into two folders, one titled heart sounds and the other lung sounds. In addition, two matlab programs are included, one with which the signals can be recorded and another to make graphs in time and frequency. It also has a pdf file that details the nomenclature of the signals.

This data set can be useful for various signal processing algorithms: filtering, PCA, LDA, ICA, CNN, etc.

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1816 Views

We collected several videos about Trump's interviews when he was young and old and the video of the president's swearing in speech on the Internet. 

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118 Views

In-house raw audio data is collected from road traffic areas in Durgapur, a sub-urban city in India. We have developed a customized android application for collecting the data from the environment. Approximately 124km road traffic area is covered to do the same. The android application helps us to monitor the noise data in different sampling rates and bit rates. The sampling rate can be set to one of 8000 Hz, 16 000 Hz, 32 000 Hz, 44 100 Hz, 48 000 Hz. On the other hand, the bit rate can be set to one of 24 kbps, 48 kbps, 96 kbps, 128 kbps, 192 kbps.

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75 Views

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