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Automatic Speech Recognition

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Showing 3101–3125 of 3174 papers

TitleStatusHype
Unsupervised Domain Discovery using Latent Dirichlet Allocation for Acoustic Modelling in Speech Recognition—0
Data-selective Transfer Learning for Multi-Domain Speech Recognition—0
Enhancement and Recognition of Reverberant and Noisy Speech by Extending Its Coherence—0
EESEN: End-to-End Speech Recognition using Deep RNN Models and WFST-based DecodingCode0
Neural NILM: Deep Neural Networks Applied to Energy DisaggregationCode0
Incremental LSTM-based Dialog State Tracker—0
Driving ROVER with Segment-based ASR Quality Estimation—0
Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition from Continuous Speech Signals—0
Recognize Foreign Low-Frequency Words with Similar Pairs—0
Hybridized Feature Extraction and Acoustic Modelling Approach for Dysarthric Speech Recognition—0
Towards Structured Deep Neural Network for Automatic Speech Recognition—0
Recurrent Neural Network Training with Dark Knowledge Transfer—0
Feature selection using Fisher's ratio technique for automatic speech recognition—0
Entity Linking for Spoken Language—0
Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances—0
Sentence segmentation of aphasic speech—0
An Incremental Algorithm for Transition-based CCG Parsing—0
Assessing the Performance of Automatic Speech Recognition Systems When Used by Native and Non-Native Speakers of Three Major Languages in Dictation Workflows—0
A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution—0
Deep Recurrent Neural Networks for Acoustic Modelling—0
Transferring Knowledge from a RNN to a DNN—0
Modeling State-Conditional Observation Distribution using Weighted Stereo Samples for Factorial Speech Processing Models—0
Maximum a Posteriori Adaptation of Network Parameters in Deep Models—0
Deep Multimodal Learning for Audio-Visual Speech Recognition—0
Learning linearly separable features for speech recognition using convolutional neural networks—0
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