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Automatic Speech Recognition

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Showing 2901–2925 of 3174 papers

TitleStatusHype
A Unified Neural Architecture for Joint Dialog Act Segmentation and Recognition in Spoken Dialog System—0
Low-Resource Machine Transliteration Using Recurrent Neural Networks of Asian Languages—0
OpenSeq2Seq: Extensible Toolkit for Distributed and Mixed Precision Training of Sequence-to-Sequence Models—0
Phone Merging For Code-Switched Speech Recognition—0
Unsupervised and Efficient Vocabulary Expansion for Recurrent Neural Network Language Models in ASR—0
Contextual Language Model Adaptation for Conversational Agents—0
Towards Automated Single Channel Source Separation using Neural Networks—0
Quaternion Convolutional Neural Networks for End-to-End Automatic Speech RecognitionCode0
Speaker Adapted Beamforming for Multi-Channel Automatic Speech Recognition—0
Recurrent DNNs and its Ensembles on the TIMIT Phone Recognition TaskCode0
Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin—0
Unsupervised Adaptation with Interpretable Disentangled Representations for Distant Conversational Speech Recognition—0
Multilingual End-to-End Speech Recognition with A Single Transformer on Low-Resource Languages—0
Quaternion Recurrent Neural NetworksCode0
LSTM Benchmarks for Deep Learning FrameworksCode0
Role-specific Language Models for Processing Recorded Neuropsychological Exams—0
Binarized LSTM Language Model—0
End-to-end named entity extraction from speech—0
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio—0
Multimodal Speaker Segmentation and Diarization using Lexical and Acoustic Cues via Sequence to Sequence Neural Networks—0
Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2SeqCode0
ASR-based Features for Emotion Recognition: A Transfer Learning Approach—0
Targeted Adversarial Examples for Black Box Audio SystemsCode0
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces—0
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese—0
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