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35 Views

The Partial Discharge - Localisation Dataset, abbreviated: PD-Loc Dataset is an extensive collection of acoustic data specifically curated for the advancement of Partial Discharge (PD) localisation techniques within electrical machinery. Developed using a precision-engineered 32-sensor acoustic array, this dataset encompasses a wide array of signals, including chirps, white Gaussian noise, and PD signals.

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116 Views

JVNV is a Japanese emotional speech corpus with verbal content and nonverbal vocalizations whose scripts are generated by a large-scale language model.

Existing emotional speech corpora lack not only proper emotional scripts but also nonverbal vocalizations (NVs) that are essential expressions in spoken language to express emotions.

We propose an automatic script generation method to produce emotional scripts by providing seed words with sentiment polarity and phrases of nonverbal vocalizations to ChatGPT using prompt engineering.

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250 Views

In this article, human fatty liver (HFL) volume is measured using the proposed HFL device. The HFL device consists of nano graphene polyvinyl (NGP) sensor and node MCU microcontroller. The NGP sensor acquires electromagnetic radiations from fatty liver (FL), which arise due to dielectric materials in fat. Continuous monitoring of FL volume through various medical imaging instruments leads to frequent exposure of radiation.

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190 Views

DESED dataset is the dataset that was used in DCASE 2019 task 4. The dataset for this task is composed of 10 sec audio clips recorded in domestic environment or synthesized using Scaper to simulate a domestic environment.

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76 Views

EAED is an Egyptian-Arabic emotional speech dataset containing 3,614 audio files. The dataset is a semi-natural one as it was collected from five well-known Egyptian TV series. Each audio file ranged in length from 1 to 8 seconds depending on the completion time of the given sentence.

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518 Views

The dataset is collected from the xeno-canto website, which is a public website to share bird sounds from around the world . We first collect 15,300 bird sounds from one second to fifteen seconds. Unlike many audio denoising datasets which have manually added artificial noise, our collected bird sounds contain natural noises, including wind, waterfall, rain, etc.

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279 Views

SLCeleb

Here we collected data through social media such as Youtube, because the best method to obtain data from a variety of wild and diverse acoustic environments is to use a freely available source. Otherwise, manually creating such volatility would take a long time. Even after that, we will not be able to share the data collected with other researchers.

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263 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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172 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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335 Views

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