Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Karel Blavka"'
Publikováno v:
TSP
In this paper, we present a system developed in our lab to provide subtitles to audio-visual shows and documents produced by Czech internet company Stream.cz. The main goal is to make these programs understandable also for deaf and hearing impaired p
Publikováno v:
2015 IEEE International Workshop of Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM).
In the last years automatic speech recognition (ASR) technologies are applied as assistant technologies for hearing-impaired people. ASR technologies typically produce some kind of subtitles by two ways: i) directly by the automatic speech recognitio
Autor:
Jindrich Zdánský, Michal Rott, Jan Nouza, Karel Blavka, Marek Bohac, Jan Silovský, Jiri Malek, Michaela Kucharova, Ladislav Seps, Josef Chaloupka, Petr Cerva
Publikováno v:
INTERSPEECH
Scopus-Elsevier
Scopus-Elsevier
Autor:
Marek Bohac, Karel Blavka
Publikováno v:
Text, Speech and Dialogue ISBN: 9783319108155
TSD
TSD
We propose a scheme to determine punctuation of the text produced by an automatic speech recognizer. We deal with the addition of commas based on the recognized text and we propose a full stop detection scheme using both – the textual and prosody i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5622b358d084e305f2a9c9b3741489d1
https://doi.org/10.1007/978-3-319-10816-2_67
https://doi.org/10.1007/978-3-319-10816-2_67
Publikováno v:
TSP
In this paper we propose an algorithm for grapheme-to-phoneme (G2P) alignment. Such alignment is needed mainly for the data-driven training of G2P conversion tools. Our approach utilizes a given phonetic alphabet and a set of given orthographic-phone
Autor:
Karel Blavka, Marek Bohac
Publikováno v:
Text, Speech, and Dialogue ISBN: 9783642405846
TSD
TSD
In this paper we propose a method for text-to-speech alignment intended for imperfect (text) transcriptions. We designed an ASR-based (automatic speech recognition) tool complemented with a special post-processing layer that finds anchor points in th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cf97175613df688f0e25be854a6b11d2
https://doi.org/10.1007/978-3-642-40585-3_67
https://doi.org/10.1007/978-3-642-40585-3_67
Autor:
Jiri Malek, Jan Nouza, Karel Palecek, Ondrej Smola, Karel Blavka, Jan Silovsky, Petr Cerva, Jindrich Zdansky
Publikováno v:
MMSP
This paper presents a complex system developed to improve the quality of distance learning by allowing people to browse the content of various (academic) lectures. The system consists of several main modules. The first automatic speech recognition (A
Publikováno v:
TSP
This paper deals with a post-processing phase of automatic transcription of spoken documents stored in the large Czech Radio audio archive (containing hundreds of thousands of recordings). The ultimate goal of the project is to transcribe them and to
Publikováno v:
Journal of Multimedia. 7
In this paper we describe a complex software platform that is being developed for the automatic transcription and indexation of the Czech Radio archive of spoken documents. The archive contains more than 100.000 hours of audio recordings covering alm
Publikováno v:
Communications in Computer and Information Science ISBN: 9783642279775
MM4CH
MM4CH
The Czech Radio archive of spoken documents is considered one of the gems of the Czech cultural heritage. It contains the largest collection (more than 100.000 hours) of spoken documents recorded during the last 90 years. We are developing a complex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::53650157eb7a45d8575794f08af711f0
https://doi.org/10.1007/978-3-642-27978-2_3
https://doi.org/10.1007/978-3-642-27978-2_3