Search results for: robustness

• In silico modelling for predicting the cationic hydrophobicity and cytotoxicity of ionic liquids towards the Leukemia rat cell line, Vibrio fischeri and Scenedesmus vacuolatus based on molecular interaction potentials of ions

  Publication

  • C. Cho
  • J. Ranke
  • J. Arning
  • J. THöMING
  • U. Preiss
  • C. Jungnickel
  • M. Diedenhofen
  • I. Krossing
  • S. Stolte

  - SAR AND QSAR IN ENVIRONMENTAL RESEARCH - Year 2013

  In this study we present prediction models for estimating in silico the cationic hydrophobicity and the cytotoxicity (log [1/EC50]) of ionic liquids (ILs) towards the Leukemia rat cell line (IPC-81), the marine bacterium Vibrio fischeri and the limnic green algae Scenedesmus vacuolatus using linear free energy relationship (LFER) descriptors computed by COSMO calculations. The LFER descriptors used for the prediction model (i.e....

  Full text to download in external service

• Prediction of maximum tensile stress in plain-weave composite laminates with interacting holes via stacked machine learning algorithms: A comparative study

  Publication

  • F. Bagherzadeh
  • T. Shafighfard
  • R. M. A. Khan
  • P. Szczuko
  • M. Mieloszyk

  - MECHANICAL SYSTEMS AND SIGNAL PROCESSING - Year 2023

  Plain weave composite is a long-lasting type of fabric composite that is stable enough when being handled. Open-hole composites have been widely used in industry, though they have weak structural performance and complex design processes. An extensive number of material/geometry parameters have been utilized for designing these composites, thereby an efficient computational tool is essential for that purpose. Different Machine Learning...

  Full text to download in external service

• Intelligent Decision Forest Models for Customer Churn Prediction

  Publication

  • F. E. Usman-Hamzah
  • A. O. Balogun
  • L. F. Capretz
  • H. A. Mojeed
  • S. Mahamad
  • S. A. Salihu
  • A. G. Akintola
  • S. Basri
  • R. T. Amosa
  • N. K. Salahdeen

  - Applied Sciences-Basel - Year 2022

  Customer churn is a critical issue impacting enterprises and organizations, particularly in the emerging and highly competitive telecommunications industry. It is important to researchers and industry analysts interested in projecting customer behavior to separate churn from non‐churn consumers. The fundamental incentive is a firm’s intent desire to keep current consumers, along with the exorbitant expense of gaining new ones....

  Full text available to download

• Machine Learning-Based Wetland Vulnerability Assessment in the Sindh Province Ramsar Site Using Remote Sensing Data

  Publication

  • R. W. Aslam
  • H. Shu
  • I. Naz
  • A. Quddoos
  • A. Yaseen
  • K. Gulshad
  • S. Saud Alarifi

  - Remote Sensing - Year 2024

  Wetlands provide vital ecological and socioeconomic services but face escalating pressures worldwide. This study undertakes an integrated spatiotemporal assessment of the multifaceted vulnerabilities shaping Khinjhir Lake, an ecologically significant wetland ecosystem in Pakistan, using advanced geospatial and machine learning techniques. Multi-temporal optical remote sensing data from 2000 to 2020 was analyzed through spectral...

  Full text available to download

• Highly efficient maximum power point tracking control technique for PV system under dynamic operating conditions

  Publication

  • S. K. R. Moosavi
  • M. Mansoor
  • M. H. Zafar
  • N. M. Khan
  • A. Mirza
  • N. Akhtar

  - Energy Reports - Year 2022

  The application of small-scale electrical systems is widespread and the integration of Maximum Power Point Tracking (MPPT) control for Photovoltaic systems with battery applications further enhances the techno-economic feasibility of renewable systems. For this purpose, a novel MPPT control system using Dynamic Group based cooperation optimization (DGBCO) algorithm is utilized for PV systems. The population in the DGBCO is divided...

  Full text available to download

• Self-organized multilayered graphene-boron doped diamond hybrid nanowalls for high performance electron emission devices

  Publication

  • K. J. Sankaran
  • M. Ficek
  • S. Kunuku
  • P. Kalpataru
  • C. Yeh
  • J. Park
  • M. Sawczak
  • P. Michałowski
  • K. Leou
  • R. Bogdanowicz... and 2 others

  - NANOSCALE - Year 2018

  Carbon nanomaterials like nanotubes, nanoflakes/nanowalls and graphene have been used as electron sources due to their superior field electron emission (FEE) characteristics. Nevertheless, these materials show poor stability and a short lifetime, preventing them from being used in practical device applications. The intention of this study was to find an innovative nanomaterial, possessing both high robustness and reliable FEE behavior....

  Full text available to download

• Empirical analysis of tree-based classification models for customer churn prediction

  Publication

  • F. E. Usman-Hamza
  • A. O. Balogun
  • S. K. Nasiru
  • L. F. Capretz
  • H. A. Mojeed
  • S. A. Salihu
  • A. G. Akintola
  • M. A. Mabayoje
  • J. B. Awotunde

  - Scientific African - Year 2023

  Customer churn is a vital and reoccurring problem facing most business industries, particularly the telecommunications industry. Considering the fierce competition among telecommunications firms and the high expenses of attracting and gaining new subscribers, keeping existing loyal subscribers becomes crucial. Early prediction of disgruntled subscribers can assist telecommunications firms in identifying the reasons for churn and...

  Full text available to download

• MODALITY corpus - SPEAKER 03 - COMMANDS C6

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 27 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 42 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 03 - SEQUENCE S2

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 03 - SEQUENCE S6

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 10 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 41 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 37 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 03 - SEQUENCE S3

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 34 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 03 - SEQUENCE S4

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 03 - COMMANDS C5

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 03 - COMMANDS C4

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 30 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 03 - COMMANDS C2

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 29 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 30 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 31 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 40 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 34 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 38 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 41 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 29 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 37 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 40 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 03 - SEQUENCE S5

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 28 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 28 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 31 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 38 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 42 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 27 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 36 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 36 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 03 - COMMANDS C3

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 21 - COMMANDS C2

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 01 - SEQUENCE S5

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 35 - COMMANDS C1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 21 - SEQUENCE S6

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 21 - COMMANDS C5

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 21 - SEQUENCE S4

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 10 - SEQUENCE S1

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...

• MODALITY corpus - SPEAKER 01 - SEQUENCE S2

  Open Research Data

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • M. Szykulski
  • J. Kotus
  • S. Zaporowski
  • P. Spaleniak
  • P. Odya

  - series: MODALITY corpus

  The MODALITY corpus is one of the multimodal database of word recordings in English. It consists of over 30 hours of multimodal recordings. The database contains high-resolution, high-framerate stereoscopic video streams and audio signals obtained from a microphone array and a laptop microphone. The corpus can be employed to develop an AVSR system,...