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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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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 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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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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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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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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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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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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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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