Search results for: speaker recognition

• Speaker Recognition Using Convolutional Neural Network with Minimal Training Data for Smart Home Solutions

  Publication

  • M. Wang
  • T. Sirlapu
  • A. Kwaśniewska
  • M. Szankin
  • M. Bartscherer
  • R. Nicolas

  - Year 2018

  With the technology advancements in smart home sector, voice control and automation are key components that can make a real difference in people's lives. The voice recognition technology market continues to involve rapidly as almost all smart home devices are providing speaker recognition capability today. However, most of them provide cloud-based solutions or use very deep Neural Networks for speaker recognition task, which are...

  Full text to download in external service

• Andrzej Czyżewski prof. dr hab. inż.

  People

  Department of Multimedia Systems

  Prof. zw. dr hab. inż. Andrzej Czyżewski jest absolwentem Wydziału Elektroniki PG (studia magisterskie ukończył w 1982 r.). Pracę doktorską na temat związany z dźwiękiem cyfrowym obronił z wyróżnieniem na Wydziale Elektroniki PG w roku 1987. W 1992 r. przedstawił rozprawę habilitacyjną pt.: „Cyfrowe operacje na sygnałach fonicznych”. Jego kolokwium habilitacyjne zostało przyjęte jednomyślnie w czerwcu 1992 r. w Akademii Górniczo-Hutniczej...

• Examining Influence of Distance to Microphone on Accuracy of Speech Recognition

  Publication

  • P. Bratoszewski
  • M. Szykulski
  • A. Czyżewski

  - Year 2015

  The problem of controlling a machine by the distant-talking speaker without a necessity of handheld or body-worn equipment usage is considered. A laboratory setup is introduced for examination of performance of the developed automatic speech recognition system fed by direct and by distant speech acquired by microphones placed at three different distances from the speaker (0.5 m to 1.5 m). For feature extraction from the voice signal...

  Full text to download in external service

• Bożena Kostek prof. dr hab. inż.

  People

  Laboratorium Akustyki Fonicznej

• A Study of Cross-Linguistic Speech Emotion Recognition Based on 2D Feature Spaces

  Publication

  • G. Tamulevicius
  • G. Korvel
  • A. B. Yayak
  • P. Treigys
  • J. Bernataviciene
  • B. Kostek

  - Electronics - Year 2020

  In this research, a study of cross-linguistic speech emotion recognition is performed. For this purpose, emotional data of different languages (English, Lithuanian, German, Spanish, Serbian, and Polish) are collected, resulting in a cross-linguistic speech emotion dataset with the size of more than 10.000 emotional utterances. Despite the bi-modal character of the databases gathered, our focus is on the acoustic representation...

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• Comparison of Acoustic and Visual Voice Activity Detection for Noisy Speech Recognition

  Publication

  • P. Bratoszewski
  • G. Szwoch
  • A. Czyżewski

  - Year 2016

  The problem of accurate differentiating between the speaker utterance and the noise parts in a speech signal is considered. The influence of utilizing a voice activity detection in speech signals on the accuracy of the automatic speech recognition (ASR) system is presented. The examined methods of voice activity detection are based on acoustic and visual modalities. The problem of detecting the voice activity in clean and noisy...

• Sensors integration in the smart home environment - a proposal to solve the problem with user identification

  Publication

  • M. Kaczmarek
  • A. Bujnowski
  • K. Osiński
  • A. Poliński
  • T. Kocejko

  - Year 2019

  In this preliminary study we, investigate the possibility of user recognition techniques suitable on smart home devices like chairs, beds, aiming for low–power, high accuracy and quick response time. We propose the two well know technique: voice speaker recognition and accelerometer signal from device mounted on the chair, and the third one optical system basing on IR LED transmitter/receiver circuit. The preliminary results proved...

  Full text to download in external service

• Mispronunciation Detection in Non-Native (L2) English with Uncertainty Modeling

  Publication

  • D. Korzekwa
  • J. Lorenzo-trueba
  • S. Zaporowski
  • S. Calamaro
  • T. Drugman
  • B. Kostek

  - Year 2021

  A common approach to the automatic detection of mispronunciation in language learning is to recognize the phonemes produced by a student and compare it to the expected pronunciation of a native speaker. This approach makes two simplifying assumptions: a) phonemes can be recognized from speech with high accuracy, b) there is a single correct way for a sentence to be pronounced. These assumptions do not always hold, which can result...

  Full text to download in external service

• 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 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,...

• MODALITY corpus - SPEAKER 39 - 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 01 - SEQUENCE S3

  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 - COMMANDS C3

  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 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,...

• MODALITY corpus - SPEAKER 33 - 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 - 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 21 - COMMANDS C3

  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 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 01 - 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 - 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 01 - COMMANDS C4

  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 C4

  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 - 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 S3

  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 - COMMANDS C6

  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 C6

  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 - 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 39 - 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 33 - 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 17 - 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 - 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 05 - 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 - 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 08 - 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 02 - 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 23 - 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 23 - 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 05 - 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 25 - 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 19 - 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 13 - 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 32- 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 04 - 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 14 - 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 - 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 25 - 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,...