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Automatic Speech Recognition

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Showing 2801–2850 of 3174 papers

TitleStatusHype
The Recognition Of Persian Phonemes Using PPNet—0
E-RNN: Design Optimization for Efficient Recurrent Neural Networks in FPGAs—0
End-to-end contextual speech recognition using class language models and a token passing decoder—0
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR—0
Speech recognition with quaternion neural networks—0
WEST: Word Encoded Sequence Transducers—0
Investigating the Effects of Word Substitution Errors on Sentence EmbeddingsCode0
Exploring RNN-Transducer for Chinese Speech Recognition—0
Corpus Phonetics Tutorial—0
An Online Attention-based Model for Speech Recognition—0
Stream attention-based multi-array end-to-end speech recognition—0
Multi-encoder multi-resolution framework for end-to-end speech recognition—0
Reinforcement Learning Based Speech Enhancement for Robust Speech Recognition—0
Multimodal Grounding for Sequence-to-Sequence Speech RecognitionCode0
Confusion2Vec: Towards Enriching Vector Space Word Representations with Representational Ambiguities—0
Analysis of Multilingual Sequence-to-Sequence speech recognition systems—0
CNN-based MultiChannel End-to-End Speech Recognition for everyday home environments—0
Bidirectional Quaternion Long-Short Term Memory Recurrent Neural Networks for Speech RecognitionCode0
Discriminative training of RNNLMs with the average word error criterion—0
End-to-End Monaural Multi-speaker ASR System without Pretraining—0
Leveraging Weakly Supervised Data to Improve End-to-End Speech-to-Text Translation—0
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems using Multi-Objective Evolutionary Optimization—0
Improving the Robustness of Speech Translation—0
Cycle-consistency training for end-to-end speech recognition—0
Adversarial Training of End-to-end Speech Recognition Using a Criticizing Language Model—0
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation—0
Introspection for convolutional automatic speech recognition—0
Sisyphus, a Workflow Manager Designed for Machine Translation and Automatic Speech Recognition—0
How2: A Large-scale Dataset for Multimodal Language UnderstandingCode1
Tropical Modeling of Weighted Transducer Algorithms on Graphs—0
Towards End-to-End Code-Switching Speech Recognition—0
End-to-End Feedback Loss in Speech Chain Framework via Straight-Through Estimator—0
Bi-Directional Lattice Recurrent Neural Networks for Confidence EstimationCode0
Towards End-to-end Automatic Code-Switching Speech Recognition—0
Contextual Speech Recognition with Difficult Negative Training Examples—0
Cascaded CNN-resBiLSTM-CTC: An End-to-End Acoustic Model For Speech Recognition—0
Language Modeling for Code-Switching: Evaluation, Integration of Monolingual Data, and Discriminative TrainingCode0
Speaker Selective Beamformer with Keyword Mask Estimation—0
The MeMAD Submission to the IWSLT 2018 Speech Translation Task—0
A Deep Generative Acoustic Model for Compositional Automatic Speech Recognition—0
Semi-supervised acoustic model training for speech with code-switching—0
How transferable are features in convolutional neural network acoustic models across languages?—0
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation—0
Targeted Adversarial Examples for Black Box Audio Systems—0
Transferable and Configurable Audio Adversarial Attack from Low-Level Features—0
Cycle-Consistent GAN Front-End to Improve ASR Robustness to Perturbed Speech—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
ROBUST SPEECH COMMAND RECOGNITION USING LABEL-DRIVEN TIME-FREQUENCY MASKING—0
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