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The limited availability of Guitar notes datasets hinders the training of any artificial intelligence model in this field. TaptoTab dataset aims to fill this gap by providing a collection of notes recordings. This dataset is collected as part of an honours project at the Faculty of Computer and Information Sciences, Ain Shams University. The dataset is composed of audio data that has been self-collected, focusing on capturing a comprehensive range of guitar notes. The dataset consists of recordings of guitar notes played on each of the six strings, covering up to the 12th fret.
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548 Views
Insulation fault detection in rotating machinery using Partial Discharge (PD) has been a hot research topic over the last decades. In recent years, attention has also been paid to low voltage machines, following the advent of wide bandgap semiconductor devices. This paper presents a low-cost, modular, and full-digital PD monitoring device, particularly suitable for deployment in large industrial plants.
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229 Views
Active noise control (ANC) aims at reducing a noise source at a listening point by destructive interference with a reversed phase noise emitted by one or more controlling devices. These data are from an active vibration control (AVC) system applied to a wall of the metal box of a cogeneration plant. It makes use of electro-dynamic shakers as controllers and accelerometers as error and reference signals. The algorithm employed for generating the cancelling signals is a single-reference, single-input multiple-output (MIMO) Filtered-X Normalized Least Mean Square (FxNLMS).
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111 Views
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131 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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813 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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566 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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228 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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106 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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1007 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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564 Views