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Non-linear Dynamics Characterization from Wavelet Packet Transform for Automatic Recognition of Emotional Speech
(SpringerGrupo de Investigación en Telecomunicaciones Aplicadas (GITA)Basilea, Suiza, 2023)
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)
Multi-objective optimisation of wavelet features for phoneme recognition
(Institution of Engineering and Technology, 2016-03)
State-of-the-art speech representations provide acceptable recognition results under optimal conditions, though their performance in adverse conditions still needs to be improved. In this direction, many advances involving ...
Objective quality evaluation in blind source separation for speech recognition in a real room
(Elsevier Science, 2007-12)
The determination of quality of the signals obtained by blind source separation is a very important subject fordevelopment and evaluation of such algorithms. When this approach is used as a pre-processing stage for automatic ...
Modeling, estimating, and compensating low-bit rate coding distortion in speech recognitionIEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSINGIEEE TRANS SPEECH AUDIO PROCESS.
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 2017)
Map speaker adaptation of state duration distributions for speech recognitionIEEE TRANSACTIONS ON SPEECH AND AUDIO PROCESSINGIEEE TRANS SPEECH AUDIO PROCESS.
(INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 2017)