Search results for: AUDIO-VISUAL SPEECH RECOGNITION SYSTEM

• An audio-visual corpus for multimodal automatic speech recognition

  Publication

  • A. Czyżewski
  • B. Kostek
  • P. Bratoszewski
  • J. Kotus
  • M. Szykulski

  - JOURNAL OF INTELLIGENT INFORMATION SYSTEMS - Year 2017

  review of available audio-visual speech corpora and a description of a new multimodal corpus of English speech recordings is provided. The new corpus containing 31 hours of recordings was created specifically to assist audio-visual speech recognition systems (AVSR) development. The database related to the corpus includes high-resolution, high-framerate stereoscopic video streams from RGB cameras, depth imaging stream utilizing Time-of-Flight...

  Full text available to download

• EXAMINING INFLUENCE OF VIDEO FRAMERATE AND AUDIO/VIDEO SYNCHRONIZATION ON AUDIO-VISUAL SPEECH RECOGNITION ACCURACY

  Publication

  • P. Bratoszewski
  • K. Łopatka
  • A. Czyżewski

  - Year 2014

  The problem of video framerate and audio/video synchronization in audio-visual speech recognition is considered. The visual features are added to the acoustic parameters in order to improve the accuracy of speech recognition in noisy conditions. The Mel-Frequency Cepstral Coefficients are used on the acoustic side whereas Active Appearance Model features are extracted from the image. The feature fusion approach is employed. The...

• EXAMINING INFLUENCE OF VIDEO FRAMERATE AND AUDIO/VIDEO SYNCHRONIZATION ON AUDIO-VISUAL SPEECH RECOGNITION ACCURACY

  Publication

  • P. Bratoszewski
  • K. Łopatka
  • A. Czyżewski

  - Year 2014

  The problem of video framerate and audio/video synchronization in audio-visual speech recogni-tion is considered. The visual features are added to the acoustic parameters in order to improve the accuracy of speech recognition in noisy conditions. The Mel-Frequency Cepstral Coefficients are used on the acoustic side whereas Active Appearance Model features are extracted from the image. The feature fusion approach is employed. The...

• Visual Lip Contour Detection for the Purpose of Speech Recognition

  Publication

  • P. Dalka
  • P. Bratoszewski
  • A. Czyżewski

  - Year 2014

  A method for visual detection of lip contours in frontal recordings of speakers is described and evaluated. The purpose of the method is to facilitate speech recognition with visual features extracted from a mouth region. Different Active Appearance Models are employed for finding lips in video frames and for lip shape and texture statistical description. Search initialization procedure is proposed and error measure values are...

• Multimodal Audio-Visual Recognition of Traffic Events

  Publication

  • K. Łopatka
  • J. Kotus
  • M. Szczodrak
  • P. Marcinkowski
  • A. Korzeniewski
  • A. Czyżewski

  - Year 2011

  Przedstawiono demonstrator systemu wykrywania niebezpiecznych zdarzeń w ruchu drogowym oparty na jednoczesnej analizie danych wizyjnych i akustycznych. System jest częścią systemu automatycznego nadzoru bezpieczeństwa. Wykorzystuje on kamery i mikrofony jako źródła danych. Przedstawiono wykorzystane algorytmy - algorytmy rozpoznawania zdarzeń dźwiękowych oraz analizy obrazu. Zaprezentowano wyniki działania algorytmów na przykładzie...

• 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...

• Multimodal English corpus for automatic speech recognition

  Publication

  • B. Kunka
  • A. Kupryjanow
  • P. Dalka
  • P. Bratoszewski
  • M. Szczodrak
  • P. Spaleniak
  • M. Szykulski
  • A. Czyżewski

  - Year 2013

  A multimodal corpus developed for research of speech recognition based on audio-visual data is presented. Besides usual video and sound excerpts, the prepared database contains also thermovision images and depth maps. All streams were recorded simultaneously, therefore the corpus enables to examine the importance of the information provided by different modalities. Based on the recordings, it is also possible to develop a speech...

• Language material for English audiovisual speech recognition system developmen . Materiał językowy do wykorzystania w systemie audiowizualnego rozpoznawania mowy angielskiej

  Publication

  • A. Czyżewski
  • B. Kostek
  • T. Ciszewski
  • D. Majewicz

  - Year 2013

  The bi-modal speech recognition system requires a 2-sample language input for training and for testing algorithms which precisely depicts natural English speech. For the purposes of the audio-visual recordings, a training data base of 264 sentences (1730 words without repetitions; 5685 sounds) has been created. The language sample reflects vowel and consonant frequencies in natural speech. The recording material reflects both the...

• Combining visual and acoustic modalities to ease speech recognition by hearing impaired people

  Publication

  • B. Kostek
  • P. Dalka

  - Year 2005

  Artykuł prezentuje system, którego celem działania jest ułatwienie procesu treningu poprawnej wymowy dla osób z poważnymi wadami słuchu. W analizie mowy wykorzystane zostały parametry akutyczne i wizualne. Do wyznaczenia parametrów wizualnych na podstawie kształtu i ruchu ust zostały wykorzystane modele Active Shape Models. Parametry akustyczne bazują na współczynnikach melcepstralnych. Do klasyfikacji wypowiadanych głosek została...

• Bimodal classification of English allophones employing acoustic speech signal and facial motion capture

  Publication

  • A. Czyżewski
  • S. Zaporowski
  • B. Kostek

  - Journal of the Acoustical Society of America - Year 2018

  A method for automatic transcription of English speech into International Phonetic Alphabet (IPA) system is developed and studied. The principal objective of the study is to evaluate to what extent the visual data related to lip reading can enhance recognition accuracy of the transcription of English consonantal and vocalic allophones. To this end, motion capture markers were placed on the faces of seven speakers to obtain lip...

  Full text to download in external service

• Material for Automatic Phonetic Transcription of Speech Recorded in Various Conditions

  Publication

  • B. Kostek
  • M. Piotrowska
  • A. Czyżewski

  - Year 2016

  Automatic speech recognition (ASR) is under constant development, especially in cases when speech is casually produced or it is acquired in various environment conditions, or in the presence of background noise. Phonetic transcription is an important step in the process of full speech recognition and is discussed in the presented work as the main focus in this process. ASR is widely implemented in mobile devices technology, but...

  Full text to download in external service

• Audio-visual aspect of the Lombard effect and comparison with recordings depicting emotional states.

  Publication

  • S. Zaporowski
  • B. Kostek
  • J. Gołębiewska
  • J. Piltz

  - Year 2018

  In this paper an analysis of audio-visual recordings of the Lombard effect is shown. First, audio signal is analyzed indicating the presence of this phenomenon in the recorded sessions. The principal aim, however, was to discuss problems related to extracting differences caused by the Lombard effect, present in the video , i.e. visible as tension and work of facial muscles aligned to an increase in the intensity of the articulated...

  Full text to download in external service

• Methodology and technology for the polymodal allophonic speech transcription

  Publication

  • A. Czyżewski
  • T. Ciszewski
  • B. Kostek

  - Journal of the Acoustical Society of America - Year 2016

  A method for automatic audiovisual transcription of speech employing: acoustic, electromagnetical articulography and visual speech representations is developed. It adopts a combining of audio and visual modalities, which provide a synergy effect in terms of speech recognition accuracy. To establish a robust solution, basic research concerning the relation between the allophonic variation of speech, i.e., the changes in the articulatory...

  Full text to download in external service

• Methodology and technology for the polymodal allophonic speech transcription

  Publication

  • T. Ciszewski
  • A. Czyżewski
  • B. Kostek

  - Journal of the Acoustical Society of America - Year 2016

  A method for automatic audiovisual transcription of speech employing: acoustic and visual speech representations is developed. It adopts a combining of audio and visual modalities, which provide a synergy effect in terms of speech recognition accuracy. To establish a robust solution, basic research concerning the relation between the allophonic variation of speech, i.e. the changes in the articulatory setting of speech organs for...

  Full text to download in external service

• Recognition of Emotions in Speech Using Convolutional Neural Networks on Different Datasets

  Publication

  • M. Zielonka
  • A. Piastowski
  • A. Czyżewski
  • P. Nadachowski
  • M. Operlejn
  • K. Kaczor

  - Electronics - Year 2022

  Artificial Neural Network (ANN) models, specifically Convolutional Neural Networks (CNN), were applied to extract emotions based on spectrograms and mel-spectrograms. This study uses spectrograms and mel-spectrograms to investigate which feature extraction method better represents emotions and how big the differences in efficiency are in this context. The conducted studies demonstrated that mel-spectrograms are a better-suited...

  Full text available to download

• 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...

  Full text available to download

• MODALITY corpus - SPEAKER 17 - 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 17 - 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 17 - 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 17 - 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 17 - 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 17 - 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,...

• Automatic sound recognition for security purposes

  Publication

  • P. Żwan

  - Year 2008

  In the paper an automatic sound recognition system is presented. It forms a part of a bigger security system developed in order to monitor outdoor places for non-typical audio-visual events. The analyzed audio signal is being recorded from a microphone mounted in an outdoor place thus a non stationary noise of a significant energy is present in it. In the paper an especially designed algorithm for outdoor noise reduction is presented,...

• A comparative study of English viseme recognition methods and algorithm

  Publication

  • D. Jachimski
  • A. Czyżewski

  - MULTIMEDIA TOOLS AND APPLICATIONS - Year 2018

  An elementary visual unit – the viseme is concerned in the paper in the context of preparing the feature vector as a main visual input component of Audio-Visual Speech Recognition systems. The aim of the presented research is a review of various approaches to the problem, the implementation of algorithms proposed in the literature and a comparative research on their effectiveness. In the course of the study an optimal feature vector...

  Full text available to download

• A comparative study of English viseme recognition methods and algorithms

  Publication

  • D. Jachimski
  • A. Czyżewski
  • T. Ciszewski

  - MULTIMEDIA TOOLS AND APPLICATIONS - Year 2018

  An elementary visual unit – the viseme is concerned in the paper in the context of preparing the feature vector as a main visual input component of Audio-Visual Speech Recognition systems. The aim of the presented research is a review of various approaches to the problem, the implementation of algorithms proposed in the literature and a comparative research on their effectiveness. In the course of the study an optimal feature vector construction...

  Full text available to download

• 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 10 - 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 10 - 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 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 10 - 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 10 - 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 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 10 - 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 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 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,...