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Maximum entropy-based reinforcement learning using a confidence measure in speech recognition for telephone speechIEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSINGIEEE T AUDIO SPEECH
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2016)
MAP speaker adaptation of state duration distributions for speech recognition
(2002)
This paper presents a framework for maximum a posteriori (MAP) speaker adaptation of state duration distributions in hidden Markov models (HMM). Four key issues of MAP estimation, namely analysis and modeling of state ...
Feature-dependent compensation of coders in speech recognition
(ELSEVIER, 2006-01)
A solution to the problem of speech recognition with signals corrupted by coders is presented. The coding-decoding distortion is modelled as feature dependent. This model is employed to propose an unsupervised expectatio ...
The role of speech technology in user perception and context acquisition in HRI
(Springer, 2020)
The role and relevance of speech synthesis and speech recognition in social robotics is addressed in this paper. To increase the generality of this study, the interaction of a human being with one and two robots when ...
Fundacionalismo, construcción y utilización del pasado : la lectura de la última dictadura militar en los discursos de Néstor Kirchner
(Universidad de San Andrés. Departamento de Ciencias Sociales, 2011-05)