28 datasets

ZivaHub + Deakin Research Online + DMU Figshare + UCL Research Data Repository2026 · dataset · unknown

This work is focused on the development of Visual Speech recognition systems within sparse data domains. The use of Visual Speech recognition as this basis for a Liveness Verification system is discussed. This thesis also explores the adaptation of models trained within one domain to be used with data from another (e.g. adaptation from RGB to IR).

figshare + Loughborough Research Repository2026 · Astronomical catalogue

<p dir="ltr">This dataset supports the findings reported in:</p><p dir="ltr">Veigel, C., Relaño-Iborra H., Oxenham A.J., Dau, T.; A model-based analysis of modulation masking effects on vocoded speech intelligibility. J. Acoust. Soc. Am. September 2026; 160 (3): 2090–2104. <a href="https://doi.org/10.1121/10.0046394" target="_blank" rel="noreferrer">https://doi.org/10.1121/10.0046394</a><br></p><p

figshare + Loughborough Research Repository2026 · Astronomical catalogue

Composite gels have attracted attention in recent years in the fields of smart sensing and flexible wearable electronics. Easy damage, inability to self-heal, and freeze hardening at low temperatures are still the main issues that limit the development of gel sensors. In this work, multifunctional polyionic composite gel strain sensors were fabricated by combining poly(vinyl alcohol) (PVA) with hy

figshare + Loughborough Research Repository2026 · Astronomical catalogue

Composite gels have attracted attention in recent years in the fields of smart sensing and flexible wearable electronics. Easy damage, inability to self-heal, and freeze hardening at low temperatures are still the main issues that limit the development of gel sensors. In this work, multifunctional polyionic composite gel strain sensors were fabricated by combining poly(vinyl alcohol) (PVA) with hy

figshare + Loughborough Research Repository2026 · Astronomical catalogue

Composite gels have attracted attention in recent years in the fields of smart sensing and flexible wearable electronics. Easy damage, inability to self-heal, and freeze hardening at low temperatures are still the main issues that limit the development of gel sensors. In this work, multifunctional polyionic composite gel strain sensors were fabricated by combining poly(vinyl alcohol) (PVA) with hy

figshare + Loughborough Research Repository2026 · Astronomical catalogue

Composite gels have attracted attention in recent years in the fields of smart sensing and flexible wearable electronics. Easy damage, inability to self-heal, and freeze hardening at low temperatures are still the main issues that limit the development of gel sensors. In this work, multifunctional polyionic composite gel strain sensors were fabricated by combining poly(vinyl alcohol) (PVA) with hy

figshare + Loughborough Research Repository2026 · Astronomical catalogue

Composite gels have attracted attention in recent years in the fields of smart sensing and flexible wearable electronics. Easy damage, inability to self-heal, and freeze hardening at low temperatures are still the main issues that limit the development of gel sensors. In this work, multifunctional polyionic composite gel strain sensors were fabricated by combining poly(vinyl alcohol) (PVA) with hy

figshare + Loughborough Research Repository2026 · Astronomical catalogue

Composite gels have attracted attention in recent years in the fields of smart sensing and flexible wearable electronics. Easy damage, inability to self-heal, and freeze hardening at low temperatures are still the main issues that limit the development of gel sensors. In this work, multifunctional polyionic composite gel strain sensors were fabricated by combining poly(vinyl alcohol) (PVA) with hy

figshare2026 · Astronomical catalogue

<p dir="ltr"><b>Purpose: </b>This study aimed to examine the effects of between-ear speech perception asymmetry on localization, spoken language, and reading in adolescents with early cochlear implants (CIs).</p><p dir="ltr"><b>Method: </b>Eighty adolescents, who have long-term bilateral device use, participated: 10 with bimodal (BM) devices (CI plus hearing aid at the nonimplanted ear) and 70 wit

Teesside University Research Data Repository2026 · dataset

This dataset presents a synchronized Chittagonian speech corpus developed for low-resource speech processing and dialect translation. The corpus contains 8,004 Chittagonian speech samples paired with corresponding Chittagonian transcripts and Standard Bangla translations. The textual component of the dataset is taken from the publicly available Kothon dataset, a Chittagonian–Standard Bangla parall

DANS Data Station Social Sciences and Humanities2026 · dataset · unknown

Interview voor een Engelstalig hoofdstuk in het boek Artworks through Oral History, voortkomend uit het door het PDI-SSH ondersteunde onderzoeksproject, Oral History–Stories at the Museum about Artworks (OH-SMArt) (2021-2025), en verschillende andere onderzoeksprojecten voor het inrichten van een gebruiksvriendelijke workflow voor het optimaal archiveren en ontsluiten van Oral History in de Nederl

Teesside University Research Data Repository2025 · dataset

The UGAkan-ImpairedSpeechData is a speech dataset from indigenous speakers of Akan with different forms of speech impairments. It contains audio descriptions of culturally relevant images. The dataset comprises 14,312 audio files and corresponding transcriptions equivalent to 50.01 hours. Recordings were done in different environments including Outdoor (7,706 audio files), Other (3,075), Indoor (2

Teesside University Research Data Repository2025 · dataset

In this work, a dataset is created containing 36 Bangla words and 24 English words with the help of 25 different persons from different regions of Bangladesh. 30 samples per word from both male and female speakers are recorded. The number of speech samples in the created dataset is 1800. The samples are recorded using a sound recorder (smartphones) in a room environment. Among them 1200 samples ar

Hugging Face Datasets2025 · Table · CSV

Russian Speech Dataset for recognition task Dataset comprises 338 hours of telephone dialogues in Russian, collected from 460 native speakers across various topics and domains, with an impressive 98% Word Accuracy Rate. It is designed for research in speech recognition, focusing on various recognition models, primarily aimed at meeting the requirements for automatic speech recognition (ASR) system

Hugging Face Datasets2025 · dataset

Spanish Speech Dataset for recognition task Dataset comprises 10 hours of telephone dialogues in Spanish, collected from 10 native speakers across various topics and domains. It is a valuable resource for advancing speech recognition technology. By utilizing this dataset, researchers and developers can advance their understanding and capabilities in automatic speech recognition (ASR) systems, tran

Teesside University Research Data Repository2024 · dataset

This meticulously curated dataset presents a comprehensive collection of Bengali speech recordings meticulously compiled for the advancement of voice-enabled commerce applications. Consisting of 3344 high-quality audio samples, this dataset encapsulates diverse voice recordings articulating product names and quantities commonly encountered in retail and e-commerce settings. Each recording, encompa

Teesside University Research Data Repository2023 · dataset

This dataset is an initial step of recognizing Bangla vowels from consonant pronunciation images. There is no audio involved and the classification should be made only using the images.

Hugging Face Datasets2022 · dataset

IISc-MILE Tamil ASR Corpus contains transcribed speech corpus for training ASR systems for Tamil language. It contains ~150 hours of read speech data collected from 531 speakers in a noise-free recording environment with high quality USB microphones.

Hugging Face Datasets2022 · Table · Parquet

Dataset Card for UWB-ATCC corpus Dataset Summary The UWB-ATCC Corpus is provided provided by University of West Bohemia, Department of Cybernetics. The corpus contains recordings of communication between air traffic controllers and pilots. The speech is manually transcribed and labeled with the information about the speaker (pilot/controller, not the full identity of the person). The corpus is cur

Hugging Face Datasets2022 · dataset

CABank Japanese Sakura Corpus Susanne Miyata Department of Medical Sciences Aichi Shukotoku University smiyata@asu.aasa.ac.jp website: https://ca.talkbank.org/access/Sakura.html Important This data set is a copy from the original one located at https://ca.talkbank.org/access/Sakura.html. Details Participants: 31 Type of Study: xxx Location: Japan Media type: audio DOI: doi:10.21415/T5M90R Citation

DANS Data Station Social Sciences and Humanities2022 · dataset · unknown

A set of recorded isolated nouns, verbs and image annotations used for testing the word recognition performance of our speech2image model. We trained a word recognition model on a set of images and utterances. The model should learn to recognise words without ever having seen written transcripts. The word recognition performance is measured as the number of retrieved images out of 10 displaying th

Borealis + Agri-environmental Research Data Dataverse2022 · dataset · unknown

Introduction This file contains documentation on CSLU: Foreign Accented English Release 1.2, Linguistic Data Consortium (LDC) catalog number LDC2006S38 and isbn 1-58563-392-5. CSLU: Foreign Accented English Release 1.2 consists of continuous speech in English by native speakers of 22 different languages: Arabic, Cantonese, Czech, Farsi, French, German, Hindi, Hungarian, Indonesian, Italian, Japane

Hugging Face Datasets2022 · Table · Parquet

FLEURS Fleurs is the speech version of the FLoRes machine translation benchmark. We use 2009 n-way parallel sentences from the FLoRes dev and devtest publicly available sets, in 102 languages. Training sets have around 10 hours of supervision. Speakers of the train sets are different than speakers from the dev/test sets. Multilingual fine-tuning is used and ”unit error rate” (characters, signs) of

Hugging Face Datasets2022 · Table · Parquet

MInDS-14 MINDS-14 is training and evaluation resource for intent detection task with spoken data. It covers 14 intents extracted from a commercial system in the e-banking domain, associated with spoken examples in 14 diverse language varieties. Example MInDS-14 can be downloaded and used as follows: from datasets import load_dataset minds_14 = load_dataset("PolyAI/minds14", "fr-FR") # for French #

Hugging Face Datasets2022 · Table · Parquet

Dataset Card for NMSQA(Natural Multi-speaker Spoken Question Answering) Download audio data: https://huggingface.co/datasets/voidful/NMSQA/resolve/main/nmsqa_audio.tar.gzUnzip audio data: tar -xf nmsqa_audio.tar.gz Dataset Summary The Natural Multi-speaker Spoken Question Answering (NMSQA) dataset is designed for the task of textless spoken question answering. It is based on the SQuAD dataset and