Teach your robot your language! trainable neural parser for modeling human sentence processing: Examples for 15 languages
We present a recurrent neural network (RNN) that performs thematic role assignment and
can be used for human-robot interaction (HRI). The RNN is trained to map sentence …
can be used for human-robot interaction (HRI). The RNN is trained to map sentence …
Hierarchical-task reservoir for anytime POS tagging from continuous speech
L Pedrelli, X Hinaut - 2020 International Joint Conference on …, 2020 - ieeexplore.ieee.org
We propose a novel architecture called Hierarchical-Task Reservoir (HTR) suitable for real-
time sentence parsing from continuous speech. Accordingly, we introduce a novel task that …
time sentence parsing from continuous speech. Accordingly, we introduce a novel task that …
FPGA-based implementation of speech recognition for robocar control using MFCC
B Kurniadhani, S Hadiyoso, S Aulia… - TELKOMNIKA …, 2019 - telkomnika.uad.ac.id
This research proposes a simulation of the logic series of speech recognition on the MFCC
(Mel Frequency Spread Spectrum) based FPGA and Euclidean Distance to control the …
(Mel Frequency Spread Spectrum) based FPGA and Euclidean Distance to control the …
Robust bidirectional processing for speech-controlled robotic scenarios
J Twiefel - 2020 - ediss.sub.uni-hamburg.de
Automatic Speech Recognition (ASR) is often employed for applications like dictation, where
the aim is to cover a broad range of vocabularies. Also, ASR is a central interface for …
the aim is to cover a broad range of vocabularies. Also, ASR is a central interface for …