Title :
On automatic cross-lingual subtitle timing
Author :
Bohac, Marek ; Rott, Michal ; Blavka, Karel
Author_Institution :
Inst. of Inf. Technol. & Electron., Tech. Univ. of Liberec, Liberec, Czech Republic
Abstract :
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 recognition [1], [2] or ii) provide the timing for already existing transcription [3], [4], [5]. Both mentioned solutions are constrained by the fact they produce the subtitles in the same language as is the language of audio recording. In this paper we address the task of cross-lingual subtitle timing (audio data language differs from the language of given subtitles). We define few scenarios, which differ in the available input data. For each scenario we propose a solution, evaluate preliminary results and propose how to solve main weaknesses.
Keywords :
handicapped aids; hearing; natural language processing; speech recognition; ASR technologies; audio data language; audio recording language; automatic cross-lingual subtitle timing; automatic speech recognition technologies; hearing-impaired people; Accuracy; Acoustics; Robustness; Speech; Target tracking; Timing;
Conference_Titel :
Electronics, Control, Measurement, Signals and their Application to Mechatronics (ECMSM), 2015 IEEE International Workshop of
Conference_Location :
Liberec
Print_ISBN :
978-1-4799-6970-8
DOI :
10.1109/ECMSM.2015.7208704