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Automatic Speech Recognition

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Showing 2851–2900 of 3174 papers

TitleStatusHype
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
Transferable and Configurable Audio Adversarial Attack from Low-Level Features—0
On the Inductive Bias of Word-Character-Level Multi-Task Learning for Speech Recognition—0
Training Neural Speech Recognition Systems with Synthetic Speech Augmentation—0
Cycle-Consistent GAN Front-End to Improve ASR Robustness to Perturbed Speech—0
Targeted Adversarial Examples for Black Box Audio Systems—0
ROBUST SPEECH COMMAND RECOGNITION USING LABEL-DRIVEN TIME-FREQUENCY MASKING—0
Exploring Textual and Speech information in Dialogue Act Classification with Speaker Domain Adaptation—0
Speech Recognition with Quaternion Neural Networks—0
Using Spoken Word Posterior Features in Neural Machine Translation—0
Acoustic Word Disambiguation with Phonogical Features in Danish ASR—0
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper—0
The Sogou-TIIC Speech Translation System for IWSLT 2018—0
Neural Speech Translation at AppTek—0
The AFRL IWSLT 2018 Systems: What Worked, What Didn’t—0
Characterizing Audio Adversarial Examples Using Temporal Dependency—0
End-to-End Multi-Lingual Multi-Speaker Speech Recognition—0
From Audio to Semantics: Approaches to end-to-end spoken language understanding—0
Hindi-English Code-Switching Speech Corpus—0
End-to-end Audiovisual Speech Activity Detection with Bimodal Recurrent Neural Models—0
Isolated and Ensemble Audio Preprocessing Methods for Detecting Adversarial Examples against Automatic Speech Recognition—0
Pre-training on high-resource speech recognition improves low-resource speech-to-text translationCode0
HASP: A High-Performance Adaptive Mobile Security Enhancement Against Malicious Speech Recognition—0
Étude de l'informativité des transcriptions : une approche basée sur le résumé automatique—0
Learning to adapt: a meta-learning approach for speaker adaptationCode0
Augmenting Bottleneck Features of Deep Neural Network Employing Motor State for Speech Recognition at Humanoid Robots—0
WiSeBE: Window-based Sentence Boundary EvaluationCode0
Role of Intonation in Scoring Spoken English—0
Toward domain-invariant speech recognition via large scale training—0
Densely Connected Convolutional Networks for Speech Recognition—0
End-to-end Speech Recognition with Word-based RNN Language Models—0
Device-directed Utterance Detection—0
Deep context: end-to-end contextual speech recognition—0
Acoustic and Textual Data Augmentation for Improved ASR of Code-Switching Speech—0
Articulatory Features for ASR of Pathological Speech—0
Building a Unified Code-Switching ASR System for South African Languages—0
Code-Switching Detection with Data-Augmented Acoustic and Language Models—0
Back-Translation-Style Data Augmentation for End-to-End ASR—0
A Comparison of Techniques for Language Model Integration in Encoder-Decoder Speech RecognitionCode0
Automatic Speech Recognition for Humanitarian Applications in Somali—0
Hierarchical Multi Task Learning With CTC—0
Concept-Based Embeddings for Natural Language Processing—0
Hybrid CTC-Attention based End-to-End Speech Recognition using Subword Units—0
A Comparison of Adaptation Techniques and Recurrent Neural Network ArchitecturesCode0
Foreign English Accent Adjustment by Learning Phonetic Patterns—0
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