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Automatic Speech Recognition

Papers

Showing 24512475 of 3174 papers

TitleStatusHype
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition0
Improving Proper Noun Recognition in End-to-End ASR By Customization of the MWER Loss Criterion0
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech RecognitionCode1
Iterative Pseudo-Labeling for Speech RecognitionCode0
Enhancing Monotonic Multihead Attention for Streaming ASRCode1
A systematic comparison of grapheme-based vs. phoneme-based label units for encoder-decoder-attention models0
Generative Adversarial Training Data Adaptation for Very Low-resource Automatic Speech RecognitionCode0
Improved Noisy Student Training for Automatic Speech RecognitionCode1
Quaternion Neural Networks for Multi-channel Distant Speech Recognition0
Audio-visual Multi-channel Recognition of Overlapped Speech0
An Effective End-to-End Modeling Approach for Mispronunciation Detection0
Weak-Attention Suppression For Transformer Based Speech Recognition0
Dynamic Sparsity Neural Networks for Automatic Speech Recognition0
Conformer: Convolution-augmented Transformer for Speech RecognitionCode3
Reducing Spelling Inconsistencies in Code-Switching ASR using Contextualized CTC Loss0
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition0
That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages0
Contextualizing ASR Lattice Rescoring with Hybrid Pointer Network Language Model0
Context-Dependent Acoustic Modeling without Explicit Phone Clustering0
Coupled Training of Sequence-to-Sequence Models for Accented Speech RecognitionCode0
You Do Not Need More Data: Improving End-To-End Speech Recognition by Text-To-Speech Data Augmentation0
Automatic Estimation of Intelligibility Measure for Consonants in Speech0
DiscreTalk: Text-to-Speech as a Machine Translation Problem0
Incremental Learning for End-to-End Automatic Speech Recognition0
CTC-synchronous Training for Monotonic Attention ModelCode1
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