Search results for: SPEECH-TO-TEXT TECHNOLOGY

• Time-domain prosodic modifications for text-to-speech synthesizer

  Publication

  • J. Łopatka
  • P. Suchomski
  • A. Czyżewski

  - Year 2010

  An application of prosodic speech processing algorithms to Text-To-Speech synthesis is presented. Prosodic modifications that improve the naturalness of the synthesized signal are discussed. The applied method is based on the TD-PSOLA algorithm. The developed Text-To-Speech Synthesizer is used in applications employing multimodal computer interfaces.

• Evaluation and Irony in Text in the Light of Speech Act Theory

  Publication

  • K. Kukowicz-Zarska

  - Forum Filologiczne Ateneum - Year 2020

  Full text to download in external service

• Automatic prosodic modification in a Text-To-Speech synthesizer of Polish language

  Publication

  • K. Łopatka
  • P. Suchomski
  • A. Czyżewski

  - Elektronika : konstrukcje, technologie, zastosowania - Year 2011

  Przedstawiono system syntezy mowy polskiej z funkcją automatycznej modyfikacji prozodii wypowiedzi. Opisane zostały metody automatycznego wyznaczania akcentu i intonacji wypowiedzi. Przedstawiono zastosowanie algorytmów przetwarzania sygnału mowy w procesie kształtowania prozodii. Omówiono wpływ zastosowanych modyfikacji na naturalność brzmienia syntezowanego sygnału. Zastosowana metoda oparta jest na algorytmie TD-PSOLA. Opracowany...

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

  Publication

  • B. Kostek
  • B. Szyca

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

  Full text available to download

• 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

• 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

• Cross-Lingual Knowledge Distillation via Flow-Based Voice Conversion for Robust Polyglot Text-to-Speech

  Publication

  • D. Piotrowski
  • R. Korzeniowski
  • A. Falai
  • S. Cygert
  • K. Pokora
  • G. Tinchev
  • Z. Zhang
  • K. Yanagisawa

  - Year 2023

  In this work, we introduce a framework for cross-lingual speech synthesis, which involves an upstream Voice Conversion (VC) model and a downstream Text-To-Speech (TTS) model. The proposed framework consists of 4 stages. In the first two stages, we use a VC model to convert utterances in the target locale to the voice of the target speaker. In the third stage, the converted data is combined with the linguistic features and durations...

  Full text to download in external service

• Speech and Language Technology

  Journals

  ISSN: 1895-0434

• SpringerBriefs in Speech Technology

  Journals

  ISSN: 2191-737X , eISSN: 2191-7388

• Text Technology: A Journal of computer Text Processing

  Journals

  ISSN: 1496-0958

• International Journal of Speech Technology

  Journals

  ISSN: 1381-2416 , eISSN: 1572-8110

• Australasian Speech Science and Technology

  Conferences

• A survey of automatic speech recognition deep models performance for Polish medical terms

  Publication

  • M. Zielonka
  • W. Krasiński
  • J. Nowak
  • P. Rośleń
  • J. Stopiński
  • M. Żak
  • F. Górski
  • A. Czyżewski

  - Year 2023

  Among the numerous applications of speech-to-text technology is the support of documentation created by medical personnel. There are many available speech recognition systems for doctors. Their effectiveness in languages such as Polish should be verified. In connection with our project in this field, we decided to check how well the popular speech recognition systems work, employing models trained for the general Polish language....

  Full text to download in external service

• Optimizing Medical Personnel Speech Recognition Models Using Speech Synthesis and Reinforcement Learning

  Publication

  • A. Czyżewski

  - Journal of the Acoustical Society of America - Year 2023

  Text-to-Speech synthesis (TTS) can be used to generate training data for building Automatic Speech Recognition models (ASR). Access to medical speech data is because it is sensitive data that is difficult to obtain for privacy reasons; TTS can help expand the data set. Speech can be synthesized by mimicking different accents, dialects, and speaking styles that may occur in a medical language. Reinforcement Learning (RL), in the...

  Full text available to download

• Mowa nienawiści (hate speech) a odpowiedzialność dostawców usług internetowych w orzecznictwie sądów europejskich

  Publication

  • K. Kowalik-Bańczyk

  - Year 2015

  The article analyses the phenomenon of hate speech in the Internet contrasted with the problem of responsability of Internet Service Providers for cases of such abuses of freedom of expression. The text provides an analysis of jurisprudence of two European Courts. On the one hand it presents the position of the European Court of Human Rights on the problem of hate speech: its definition and the liability for it as an exception...

• Artur Gańcza dr inż.

  People

  Department of Marine Electronic Systems

  I received the M.Sc. degree from the Gdańsk University of Technology (GUT), Gdańsk, Poland, in 2019. I am currently a Ph.D. student at GUT, with the Department of Automatic Control, Faculty of Electronics, Telecommunications and Informatics. My professional interests include speech recognition, system identification, adaptive signal processing and linear algebra.

• Computer-assisted pronunciation training—Speech synthesis is almost all you need

  Publication

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

  - SPEECH COMMUNICATION - Year 2022

  The research community has long studied computer-assisted pronunciation training (CAPT) methods in non-native speech. Researchers focused on studying various model architectures, such as Bayesian networks and deep learning methods, as well as on the analysis of different representations of the speech signal. Despite significant progress in recent years, existing CAPT methods are not able to detect pronunciation errors with high...

  Full text available to download

• Virtual Keyboard controlled by eye gaze employing speech synthesis

  Publication

  • K. Łopatka
  • R. Rybacki
  • B. Kunka
  • A. Czyżewski
  • B. Kostek

  - Elektronika : konstrukcje, technologie, zastosowania - Year 2011

  The article presents the speech synthesis integrated into the eye gaze tracking system. This approach can significantly improve the quality of life of physically disabled people who are unable to communicate. The virtual keyboard (QWERTY) is an interface which allows for entering the text for the speech synthesizer. First, this article describes a methodology of determining the fixation point on a computer screen. Then it presents...

  Full text to download in external service

• Virtual keyboard controlled by eye gaze employing speech synthesis

  Publication

  • B. Kunka
  • R. Rybacki
  • K. Łopatka
  • A. Czyżewski
  • B. Kostek

  - Year 2010

  The article presents the speech synthesis integrated into the eye gaze tracking system. This approach can significantly improve the quality of life of physically disabled people who are unable to communicate. The virtual keyboard (QWERTY) is an interface which allows for entering the text for the speech synthesizer. First, this article describes a methodology of determining the fixation point on a computer screen. Then it presents...

• Auditory-visual attention stimulator

  Publication

  • A. Kupryjanow
  • Ł. Kosikowski
  • P. Odya
  • A. Czyżewski

  - Year 2013

  New approach to lateralization irregularities formation was proposed. The emphasis is put on the relationship between visual and auditory attention stimulation. In this approach hearing is stimulated using time scale modified speech and sight is stimulated by rendering the text of the currently heard speech. Moreover, displayed text is modified using several techniques i.e. zooming, highlighting etc. In the experimental part of...

  Full text to download in external service

• Detection of Lexical Stress Errors in Non-Native (L2) English with Data Augmentation and Attention

  Publication

  • D. Korzekwa
  • R. Barra-Chicote
  • S. Zaporowski
  • G. Beringer
  • J. Lorenzo-trueba
  • A. Serafinowicz
  • J. Droppo
  • T. Drugman
  • B. Kostek

  - Year 2021

  This paper describes two novel complementary techniques that improve the detection of lexical stress errors in non-native (L2) English speech: attention-based feature extraction and data augmentation based on Neural Text-To-Speech (TTS). In a classical approach, audio features are usually extracted from fixed regions of speech such as the syllable nucleus. We propose an attention-based deep learning model that automatically de...

  Full text available to download

• Creating new voices using normalizing flows

  Publication

  • P. Biliński
  • T. Merritt
  • A. Ezzerg
  • K. Pokora
  • S. Cygert
  • K. Yanagisawa
  • R. Barra-Chicote
  • D. Korzekwa

  - Year 2022

  Creating realistic and natural-sounding synthetic speech remains a big challenge for voice identities unseen during training. As there is growing interest in synthesizing voices of new speakers, here we investigate the ability of normalizing flows in text-to-speech (TTS) and voice conversion (VC) modes to extrapolate from speakers observed during training to create unseen speaker identities. Firstly, we create an approach for TTS...

  Full text available to download

• DEVELOPMENT OF THE ALGORITHM OF POLISH LANGUAGE FILM REVIEWS PREPROCESSING

  Publication

  • N. Rizun
  • J. Taranenko

  - Rocznik Naukowy Wydzialu Zarzadzania w Ciechanowie - Year 2017

  The algorithm and the software for conducting the procedure of Preprocessing of the reviews of films in the Polish language were developed. This algorithm contains the following steps: Text Adaptation Procedure; Procedure of Tokenization; Procedure of Transforming Words into the Byte Format; Part-of-Speech Tagging; Stemming / Lemmatization Procedure; Presentation of Documents in the Vector Form (Vector Space Model) Procedure; Forming...

  Full text available to download

• 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,...

• 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,...