A review of large-vocabulary continuous-speech

S Young - IEEE signal processing magazine, 1996 - ieeexplore.ieee.org
Considerable progress has been made in speech-recognition technology over the last few
years and nowhere has this progress been more evident than in the area of large …

Survey of the state of the art in human language technology

GB Varile, A Zampolli - 1997 - books.google.com
Originally published in 1997, this book is concerned with human language technology. This
technology provides computers with the capability to handle spoken and written language …

Intelligent automated assistant for TV user interactions

M Van Os, HJ Saddler, LT Napolitano… - US Patent …, 2016 - Google Patents
2015-03-25 Assigned to APPLE INC. reassignment APPLE INC. ASSIGNMENT OF
ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: NAPOLITANO, LIA …

From captions to visual concepts and back

H Fang, S Gupta, F Iandola… - Proceedings of the …, 2015 - openaccess.thecvf.com
This paper presents a novel approach for automatically generating image descriptions:
visual detectors, language models, and multimodal similarity models learnt directly from a …

System and method for detecting errors in interactions with a voice-based digital assistant

AK Sinha - US Patent 9,633,674, 2017 - Google Patents
G06F3/00—Input arrangements for transferring data to be processed into a form capable of
being handled by the computer; Output arrangements for transferring data from processing …

Context dependent recurrent neural network language model

T Mikolov, G Zweig - 2012 IEEE Spoken Language Technology …, 2012 - ieeexplore.ieee.org
Recurrent neural network language models (RNNLMs) have recently demonstrated state-of-
the-art performance across a variety of tasks. In this paper, we improve their performance by …

Two decades of statistical language modeling: Where do we go from here?

R Rosenfeld - Proceedings of the IEEE, 2000 - ieeexplore.ieee.org
Statistical language models estimate the distribution of various natural language
phenomena for the purpose of speech recognition and other language technologies. Since …

API code recommendation using statistical learning from fine-grained changes

AT Nguyen, M Hilton, M Codoban, HA Nguyen… - Proceedings of the …, 2016 - dl.acm.org
Learning and remembering how to use APIs is difficult. While code-completion tools can
recommend API methods, browsing a long list of API method names and their …

[PDF][PDF] A maximum entropy approach to adaptive statistical language modelling

R Rosenfeld - Computer speech and language, 1996 - cs.cmu.edu
An adaptive statistical language model is described, which successfully integrates long
distance linguistic information with other knowledge sources. Most existing statistical …

[หนังสือ][B] Speech synthesis and recognition

W Holmes - 2002 - taylorfrancis.com
With the growing impact of information technology on daily life, speech is becoming
increasingly important for providing a natural means of communication between humans …