Contextual Relativity of Speech Recognition Cues

نویسندگان

چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Automatic Term Recognition using Contextual Cues

In this paper we present an approach for the extraction of multi-word terms from special language corpora. the new element is the incorporation of context information for the evaluation of candidate terms. This information is embedded to the C-value method in the form of statistical weights.

متن کامل

Contextual variability during speech-in-speech recognition.

This study examined the influence of background language variation on speech recognition. English listeners performed an English sentence recognition task in either "pure" background conditions in which all trials had either English or Dutch background babble or in mixed background conditions in which the background language varied across trials (i.e., a mix of English and Dutch or one of these...

متن کامل

Enhancing speech recognition in fast-paced educational games using contextual cues

Arcade-style games like Tetris and Pacman are often difficult to adapt for educational purposes because their fast-paced intensity and keystroke-heavy nature leave little room for simultaneous practice of other skills. Incorporating spoken language technology could make it possible for players to learn as they play, keeping up with game speed through multimodal interaction. To date, however, it...

متن کامل

Bringing contextual information to google speech recognition

In automatic speech recognition on mobile devices, very often what a user says strongly depends on the particular context he or she is in. The n-grams relevant to the context are often not known in advance. The context can depend on, for example, particular dialog state, options presented to the user, conversation topic, location, etc. Speech recognition of sentences that include these n-grams ...

متن کامل

Contextual Prediction Models for Speech Recognition

We introduce an approach to biasing language models towards known contexts without requiring separate language models or explicit contextually-dependent conditioning contexts. We do so by presenting an alternative ASR objective, where we predict the acoustics and words given the contextual cue, such as the geographic location of the speaker. A simple factoring of the model results in an additio...

متن کامل

ذخیره 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: The Journal of the Acoustical Society of America

سال: 1971

ISSN: 0001-4966

DOI: 10.1121/1.1976158