Romero-Fresco, Pablo. 2011. Subtitling through speech recognition: Respeaking
نویسندگان
چکیده
منابع مشابه
Efficient speech transcription through respeaking
We propose a method for efficient off-line speech transcription through respeaking. Speech is segmented into smaller utterances using an initial automatic transcript. Respeaking is performed segment by segment, while confidence filtering helps save supervision effort. We conduct detailed experiments comparing speaking vs. typing, sequential vs. confidence-ordered supervision, and examine the ef...
متن کاملSpeech Recognition for Subtitling Japanese Live Broadcasts
There is a great need for more TV programs to be subtitled to help hearing impaired and elderly people to watch TV. NHK has researched automatic speech recognition for subtitling live TV programs in real time efficiently. Our speech recognition system learns frequent words and expressions expected in the program beforehand and also learns characteristics of announcers’ voices in order to reduce...
متن کاملSpeech-Based Real-Time Subtitling Services
Recent advances in technology have led to the availability of powerful speech recognizers at low cost and to the possibility of using speech interaction in a variety of new and exciting practical applications. The purpose of this research was to investigate and develop the use of speech recognition in live television subtitling. This paper describes how the “SpeakTitle” project met the challeng...
متن کاملRobot Arm Performing Writing through Speech Recognition Using Dynamic Time Warping Algorithm
This paper aims to develop a writing robot by recognizing the speech signal from the user. The robot arm constructed mainly for the disabled people who can’t perform writing on their own. Here, dynamic time warping (DTW) algorithm is used to recognize the speech signal from the user. The action performed by the robot arm in the environment is done by reducing the redundancy which frequently fac...
متن کاملEvalita 2011: Automatic Speech Recognition Large Vocabulary Transcription
In this paper we describe motivations and setup of the Speech Recognition task in the framework of the EVALITA campaign for the Italian language. Systems are compared with respect to recognition accuracy on audio sequences of Italian parliament. Although only a few systems participated to this task, the recognition results give an overview of the performance. A more general discussion about app...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Target
سال: 2016
ISSN: 0924-1884,1569-9986
DOI: 10.1075/target.28.2.15mat