Wyszukiwarka
Abstrakt
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 camera accompanied by audio recorded using both: a microphone array and a microphone built in a mobile computer. For the purpose of applications related to AVSR systems training, every utterance was manually labeled, resulting in label files added to the corpus repository. Owing to the inclusion of recordings made in noisy conditions the elaborated corpus can also be used for testing robustness of speech recognition systems in the presence of acoustic background noise. The process of building the corpus, including the recording, labeling and post-processing phases is described in the paper. Results achieved with the developed audio-visual automatic speech recognition (ASR) engine trained and tested with the material contained in the corpus are presented and discussed together with comparative test results employing a state-of-the-art/commercial ASR engine. In order to demonstrate the practical use of the corpus it is made available for the public use.
Cytowania
-
5 7
CrossRef
-
0
Web of Science
-
7 5
Scopus
Autorzy (5)
Cytuj jako
Pełna treść
- Wersja publikacji
- Accepted albo Published Version
- Licencja
-
otwiera się w nowej karcie
Słowa kluczowe
Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuł w czasopiśmie wyróżnionym w JCR
- Opublikowano w:
-
JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
nr 49,
strony 167 - 192,
ISSN: 0925-9902 - Język:
- angielski
- Rok wydania:
- 2017
- Opis bibliograficzny:
- Czyżewski A., Kostek B., Bratoszewski P., Kotus J., Szykulski M.: An audio-visual corpus for multimodal automatic speech recognition// JOURNAL OF INTELLIGENT INFORMATION SYSTEMS. -Vol. 49, nr. 2 (2017), s.167-192
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.1007/s10844-016-0438-z
- Weryfikacja:
- Politechnika Gdańska
Powiązane datasety
- dane badawcze MODALITY corpus - SPEAKER 35 - COMMANDS C1
- dane badawcze MODALITY corpus - SPEAKER 21 - SEQUENCE S6
- dane badawcze MODALITY corpus - SPEAKER 21 - COMMANDS C5
- dane badawcze MODALITY corpus - SPEAKER 21 - SEQUENCE S4
- dane badawcze MODALITY corpus - SPEAKER 10 - SEQUENCE S1
- dane badawcze MODALITY corpus - SPEAKER 01 - SEQUENCE S2
- dane badawcze MODALITY corpus - SPEAKER 39 - COMMANDS C1
- dane badawcze MODALITY corpus - SPEAKER 01 - SEQUENCE S3
- dane badawcze MODALITY corpus - SPEAKER 01 - COMMANDS C3
- dane badawcze MODALITY corpus - SPEAKER 21 - SEQUENCE S2
wyświetlono 407 razy
Publikacje, które mogą cię zainteresować
Multimodal English corpus for automatic speech recognition
- B. Kunka,
- A. Kupryjanow,
- P. Dalka
- + 5 autorów