Wyniki wyszukiwania dla: speech recognition systems

• Jan Daciuk dr hab. inż.

  Osoby

  Katedra Inteligentnych Systemów Interaktywnych

  Jan Daciuk uzyskał tytuł zawodowy magistra na Wydziale Elektroniki Politechniki Gdańskiej w 1986 roku, a doktorat na wydziale Elektroniki, Telekomunikacji i Informatyki PG w 1999. Pracuje na Wydziale od 1988 roku. Jego zainteresowania naukowe obejmują zastosowania automatów skończonych w  przetwarzaniu języka naturalnego i przetwarzaniu mowy. Spędził ponad cztery lata w europejskich uniwersytetach i instytutach naukowych, takich...

• Marking the Allophones Boundaries Based on the DTW Algorithm

  Publikacja

  • J. Rafałko

  - Rok 2018

  The paper presents an approach to marking the boundaries of allophones in the speech signal based on the Dynamic Time Warping (DTW) algorithm. Setting and marking of allophones boundaries in continuous speech is a difficult issue due to the mutual influence of adjacent phonemes on each other. It is this neighborhood on the one hand that creates variants of phonemes that is allophones, and on the other hand it affects that the border...

• Investigating Feature Spaces for Isolated Word Recognition

  Publikacja

  • G. Korvel
  • G. Tamulevicus
  • P. Treigys
  • J. Bernataviciene
  • B. Kostek

  - Rok 2018

  Much attention is given by researchers to the speech processing task in automatic speech recognition (ASR) over the past decades. The study addresses the issue related to the investigation of the appropriateness of a two-dimensional representation of speech feature spaces for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and timefrequency signal representation...

• Methodology and technology for the polymodal allophonic speech transcription

  Publikacja

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

  - Journal of the Acoustical Society of America - Rok 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...

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• Methodology and technology for the polymodal allophonic speech transcription

  Publikacja

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

  - Journal of the Acoustical Society of America - Rok 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...

  Pełny tekst do pobrania w serwisie zewnętrznym

• Investigating Feature Spaces for Isolated Word Recognition

  Publikacja

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

  - Rok 2020

  The study addresses the issues related to the appropriateness of a two-dimensional representation of speech signal for speech recognition tasks based on deep learning techniques. The approach combines Convolutional Neural Networks (CNNs) and time-frequency signal representation converted to the investigated feature spaces. In particular, waveforms and fractal dimension features of the signal were chosen for the time domain, and...

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• An Attempt to Create Speech Synthesis Model That Retains Lombard Effect Characteristics

  Publikacja

  • G. Korvel
  • O. Kurasova
  • B. Kostek

  - Rok 2019

  The speech with the Lombard effect has been extensively studied in the context of speech recognition or speech enhancement. However, few studies have investigated the Lombard effect in the context of speech synthesis. The aim of this paper is to create a mathematical model that allows for retaining the Lombard effect. These models could be used as a basis of a formant speech synthesizer. The proposed models are based on dividing...

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• Introduction to the special issue on machine learning in acoustics

  Publikacja

  • Z. Michalopoulou
  • P. Gerstoft
  • B. Kostek
  • M. A. Roch

  - Journal of the Acoustical Society of America - Rok 2021

  When we started our Call for Papers for a Special Issue on “Machine Learning in Acoustics” in the Journal of the Acoustical Society of America, our ambition was to invite papers in which machine learning was applied to all acoustics areas. They were listed, but not limited to, as follows: • Music and synthesis analysis • Music sentiment analysis • Music perception • Intelligent music recognition • Musical source separation • Singing...

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• SYNTHESIZING MEDICAL TERMS – QUALITY AND NATURALNESS OF THE DEEP TEXT-TO-SPEECH ALGORITHM

  Publikacja

  • B. Kostek
  • B. Szyca

  - Journal of the Acoustical Society of America - Rok 2023

  The main purpose of this study is to develop a deep text-to-speech (TTS) algorithm designated for an embedded system device. First, a critical literature review of state-of-the-art speech synthesis deep models is provided. The algorithm implementation covers both hardware and algorithmic solutions. The algorithm is designed for use with the Raspberry Pi 4 board. 80 synthesized sentences were prepared based on medical and everyday...

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• Piotr Jasiński prof. dr hab. inż.

  Osoby

  Katedra Inżynierii Materiałów Funkcjonalnych WETI

  Piotr Jasinski obtained MSc in electronics in 1992 from the Gdansk University of Technology (GUT), Poland. Working at GUT, he received PhD in 2000 and DSc in 2009. Between 2001 and 2004 Post Doctoral Fellow at Missouri University of Science and Technology, while between 2008 and 2010 an Assistant Research Professor. Currently is an Associate Professor at Gdansk University of Technology working in the field of electronics, biomedical...

• Speech Analytics Based on Machine Learning

  Publikacja

  • G. Korvel
  • A. Kurowski
  • B. Kostek
  • A. Czyżewski

  - Rok 2019

  In this chapter, the process of speech data preparation for machine learning is discussed in detail. Examples of speech analytics methods applied to phonemes and allophones are shown. Further, an approach to automatic phoneme recognition involving optimized parametrization and a classifier belonging to machine learning algorithms is discussed. Feature vectors are built on the basis of descriptors coming from the music information...

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• Examining Feature Vector for Phoneme Recognition

  Publikacja

  • G. Korvel
  • B. Kostek

  - Rok 2018

  The aim of this paper is to analyze usability of descriptors coming from music information retrieval to the phoneme analysis. The case study presented consists in several steps. First, a short overview of parameters utilized in speech analysis is given. Then, a set of time and frequency domain-based parameters is selected and discussed in the context of stop consonant acoustical characteristics. A toolbox created for this purpose...

• Enhanced voice user interface employing spatial filtration of signals from acoustic vector sensor

  Publikacja

  • K. Łopatka
  • J. Kotus
  • P. Bratoszewski
  • P. Spaleniak
  • M. Szykulski
  • A. Czyżewski

  - Rok 2015

  Spatial filtration of sound is introduced to enhance speech recognition accuracy in noisy conditions. An acoustic vector sensor (AVS) is employed. The signals from the AVS probe are processed in order to attenuate the surrounding noise. As a result the signal to noise ratio is increased. An experiment is featured in which speech signals are disturbed by babble noise. The signals before and after spatial filtration are processed...

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• WYKORZYSTANIE SIECI NEURONOWYCH DO SYNTEZY MOWY WYRAŻAJĄCEJ EMOCJE

  Publikacja

  • S. Zaporowski
  • B. Kostek

  - Rok 2018

  W niniejszym artykule przedstawiono analizę rozwiązań do rozpoznawania emocji opartych na mowie i możliwości ich wykorzystania w syntezie mowy z emocjami, wykorzystując do tego celu sieci neuronowe. Przedstawiono aktualne rozwiązania dotyczące rozpoznawania emocji w mowie i metod syntezy mowy za pomocą sieci neuronowych. Obecnie obserwuje się znaczny wzrost zainteresowania i wykorzystania uczenia głębokiego w aplikacjach związanych...

• Separability Assessment of Selected Types of Vehicle-Associated Noise

  Publikacja

  • A. Kurowski
  • K. Marciniuk
  • B. Kostek

  - Advances in Intelligent Systems and Computing - Rok 2016

  Music Information Retrieval (MIR) area as well as development of speech and environmental information recognition techniques brought various tools in-tended for recognizing low-level features of acoustic signals based on a set of calculated parameters. In this study, the MIRtoolbox MATLAB tool, designed for music parameter extraction, is used to obtain a vector of parameters to check whether they are suitable for separation of...

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

  Publikacja

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

  - Journal of the Acoustical Society of America - Rok 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...

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• Orken Mamyrbayev Professor

  Osoby

  1.  Education: Higher. In 2001, graduated from the Abay Almaty State University (now Abay Kazakh National Pedagogical University), in the specialty: Computer science and computerization manager. 2.  Academic degree: Ph.D. in the specialty "6D070300-Information systems". The dissertation was defended in 2014 on the topic: "Kazakh soileulerin tanudyn kupmodaldy zhuyesin kuru". Under my supervision, 16 masters, 1 dissertation...

• Noise profiling for speech enhancement employing machine learning models

  Publikacja

  • K. Kąkol
  • G. Korvel
  • B. Kostek

  - Journal of the Acoustical Society of America - Rok 2022

  This paper aims to propose a noise profiling method that can be performed in near real-time based on machine learning (ML). To address challenges related to noise profiling effectively, we start with a critical review of the literature background. Then, we outline the experiment performed consisting of two parts. The first part concerns the noise recognition model built upon several baseline classifiers and noise signal features...

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• Automatic Emotion Recognition in Children with Autism: A Systematic Literature Review

  Publikacja

  • A. Landowska
  • A. Karpus
  • T. Zawadzka
  • B. Robins
  • D. Erol Barkana
  • H. Kose
  • T. Zorcec
  • N. Cummins

  - SENSORS - Rok 2022

  The automatic emotion recognition domain brings new methods and technologies that might be used to enhance therapy of children with autism. The paper aims at the exploration of methods and tools used to recognize emotions in children. It presents a literature review study that was performed using a systematic approach and PRISMA methodology for reporting quantitative and qualitative results. Diverse observation channels and modalities...

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• Biometria i przetwarzanie mowy 2023

  Kursy Online

  • J. Daciuk

  {mlang pl} Celem kursu jest zapoznanie studentów z: metodami ustalania i potwierdzania tożsamości ludzi na podstawie mierzalnych cech organizmu cechami mowy ludzkiej, w szczególności polskiej metodami rozpoznawania mowy metodami syntezy mowy {mlang} {mlang en} The aim of the course is to familiarize the students with: methods of identification and verification of identity of people based on measurable features of their...

• Biometria i przetwarzanie mowy 2024

  Kursy Online

  • J. Daciuk

  {mlang pl} Celem kursu jest zapoznanie studentów z: metodami ustalania i potwierdzania tożsamości ludzi na podstawie mierzalnych cech organizmu cechami mowy ludzkiej, w szczególności polskiej metodami rozpoznawania mowy metodami syntezy mowy {mlang} {mlang en} The aim of the course is to familiarize the students with: methods of identification and verification of identity of people based on measurable features of their...

• Examining Feature Vector for Phoneme Recognition / Analiza parametrów w kontekście automatycznej klasyfikacji fonemów

  Publikacja

  • G. Korvel
  • B. Kostek

  - Rok 2017

  The aim of this paper is to analyze usability of descriptors coming from music information retrieval to the phoneme analysis. The case study presented consists in several steps. First, a short overview of parameters utilized in speech analysis is given. Then, a set of time and frequency domain-based parameters is selected and discussed in the context of stop consonant acoustical characteristics. A toolbox created for this purpose...

• Deep neural networks for data analysis

  Kursy Online

  • K. Draszawka

  The aim of the course is to familiarize students with the methods of deep learning for advanced data analysis. Typical areas of application of these types of methods include: image classification, speech recognition and natural language understanding. Celem przedmiotu jest zapoznanie studentów z metodami głębokiego uczenia maszynowego na potrzeby zaawansowanej analizy danych. Do typowych obszarów zastosowań tego typu metod należą:...

• MODALITY corpus - SPEAKER 35 - COMMANDS C1

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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

  Dane Badawcze

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

  - seria: 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,...