Search results for: MODALITY CORPUS · ENGLISH LANGUAGE CORPUS · SPEECH RECOGNITION · AVSR

• Bożena Kostek prof. dr hab. inż.

  People

  Laboratorium Akustyki Fonicznej

• Automatic Image and Speech Recognition Based on Neural Network

  Publication

  • D. Król
  • B. Szlachetko

  - Journal of Information Technology Research - Year 2010

  Full text to download in external service

• Audiovisual speech recognition for training hearing impaired patients

  Publication

  • B. Kostek
  • P. Dalka
  • A. Czyżewski

  - Year 2006

  Praca przedstawia system rozpoznawania izolowanych głosek mowy wykorzystujący dane wizualne i akustyczne. Modele Active Shape Models zostały wykorzystane do wyznaczania parametrów wizualnych na podstawie analizy kształtu i ruchu ust w nagraniach wideo. Parametry akustyczne bazują na współczynnikach melcepstralnych. Sieć neuronowa została użyta do rozpoznawania wymawianych głosek na podstawie wektora cech zawierającego oba typy...

• English Language Bridging ( Crash ) Course for Chinese Students

  e-Learning Courses

  • K. Lis
  • U. Kamińska
  • I. Mokwa-Tarnowska
  • J. Wielgus

• Auditory-model based robust feature selection for speech recognition

  Publication

  • C. Koniaris
  • M. Kuropatwinski
  • W. Kleijn
  • M. Kuropatwiński

  - Journal of the Acoustical Society of America - Year 2010

  Full text to download in external service

• COMPUTER SPEECH AND LANGUAGE

  Journals

  ISSN: 0885-2308 , eISSN: 1095-8363

• SEMINARS IN SPEECH AND LANGUAGE

  Journals

  ISSN: 0734-0478 , eISSN: 1098-9056

• Speech and Language Technology

  Journals

  ISSN: 1895-0434

• Speech Language and Hearing

  Journals

  ISSN: 1361-3286 , eISSN: 2050-5728

• Analysis of 2D Feature Spaces for Deep Learning-based Speech Recognition

  Publication

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

  - JOURNAL OF THE AUDIO ENGINEERING SOCIETY - Year 2018

  convolutional neural network (CNN) which is a class of deep, feed-forward artificial neural network. We decided to analyze audio signal feature maps, namely spectrograms, linear and Mel-scale cepstrograms, and chromagrams. The choice was made upon the fact that CNN performs well in 2D data-oriented processing contexts. Feature maps were employed in the Lithuanian word recognition task. The spectral analysis led to the highest word...

• Specialist English as a foreign language for European public health: evaluation of competencies and needs among Polish and Lithuanian students

  Publication

  • L. Šumskas
  • K. Czabanowska
  • R. Brunevičiūtė
  • R. Kregždytė
  • Z. Krikštaponytė
  • A. Ziomkiewicz

  - Medicina - Year 2010

  Full text to download in external service

• 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...

• Język obcy English Language I, WETI, informatyka, IIst, 1 sem

  e-Learning Courses

  • I. Mokwa-Tarnowska
  • A. Jachowicz

• English Language and Linguistics

  Journals

  ISSN: 1360-6743 , eISSN: 1469-4379

• ENGLISH LANGUAGE NOTES

  Journals

  ISSN: 0013-8282

• CORPUS UTERI, Corpus uteri - Female, 49 - Tissue image [609073001473141]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 49 - Tissue image [6090730014737021]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581051411]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581054941]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581054031]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581059661]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581053931]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581058371]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581051741]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581054601]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581051211]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581054401]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [916072958105561]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• CORPUS UTERI, Corpus uteri - Female, 33 - Tissue image [9160729581056521]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• 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

• Intra-subject class-incremental deep learning approach for EEG-based imagined speech recognition

  Publication

  • J. S. Garcia Salinas
  • A. A. Torres-García
  • C. A. Reyes-Garćia
  • L. Villaseñor-Pineda

  - Biomedical Signal Processing and Control - Year 2023

  Brain–computer interfaces (BCIs) aim to decode brain signals and transform them into commands for device operation. The present study aimed to decode the brain activity during imagined speech. The BCI must identify imagined words within a given vocabulary and thus perform the requested action. A possible scenario when using this approach is the gradual addition of new words to the vocabulary using incremental learning methods....

  Full text to download in external service

• Reprezentatywne dla danego języka spektra odpowiedzi impulsowej kanału głosowego = English language specific spectrum generated in the human vocal tract

  Publication

  • Z. Wojan
  • K. Wojan

  - Year 2005

  W pracy omówiono wybrane problemy ekstrakcji kodu informacji zawartego w dźwiękach mowy etnicznej. Autorzy, wykorzystując kompilację własnych i firmowych algorytmów, wydzielają w procesie wygładzania cepstralnego z cyfrowego zapisu dźwięków mowy naturalnej strukturę spektralną pobudzenia tonem krtaniowym i szumem oraz strukturę spektralną kanału głosowego modulującego to pobudzenie. W następnym kroku powstają -statystycznie reprezentatywne...

• International Journal of Speech-Language Pathology (previously called Advances in Speech-Language Pathology)

  Journals

  ISSN: 1754-9507 , eISSN: 1754-9515

• Puhe ja Kieli (Speech and Language)

  Journals

  ISSN: 1458-3410

• JOURNAL OF MEDICAL SPEECH-LANGUAGE PATHOLOGY

  Journals

  ISSN: 1065-1438

• LANGUAGE SPEECH AND HEARING SERVICES IN SCHOOLS

  Journals

  ISSN: 0161-1461 , eISSN: 1558-9129

• AMERICAN JOURNAL OF SPEECH-LANGUAGE PATHOLOGY

  Journals

  ISSN: 1058-0360 , eISSN: 1558-9110

• Journal of Speech, Language, and Hearing Research

  Journals

  ISSN: 1092-4388 , eISSN: 1558-9102

• World Journal of English Language

  Journals

  ISSN: 1925-0703 , eISSN: 1925-0711

• Journal of English Language and Literature

  Journals

  ISSN: 1016-2283 , eISSN: 2465-8545

• Journal of English as an International Language

  Journals

  eISSN: 2200-2014

• Studies in English Language and Education

  Journals

  ISSN: 2355-2794 , eISSN: 2461-0275

• Applied Research on English Language

  Journals

  ISSN: 2252-0198 , eISSN: 2322-5343

• IEEE Transactions on Audio Speech and Language Processing

  Journals

  ISSN: 1558-7916

• 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...

• Polyp of corpus uteri - Female, 83 - Tissue image [12050630013039321]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Polyp of corpus uteri - Female, 48 - Tissue image [10080730015786881]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Polyp of corpus uteri - Female, 83 - Tissue image [12050630013033641]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Polyp of corpus uteri - Female, 70 - Tissue image [11010630088565231]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.

• Polyp of corpus uteri - Female, 83 - Tissue image [1205063001303961]

  Open Research Data

  open access

  • Gdański Uniwersytet Medyczny

  This is the histopathological image of CORPUS UTERI tissue sample obtained in Medical University Gdańsk and deposited in ZMDL-GUMED. The sample image was taken using: Pannoramic 250 3DHistech slide scanner (20x magnification) and saved to DICOM format.