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Automatic Speech Recognition

Papers

Showing 23512375 of 3174 papers

TitleStatusHype
Multi-view Attention-based Speech Enhancement Model for Noise-robust Automatic Speech Recognition0
Data augmentation using prosody and false starts to recognize non-native children's speechCode0
Learned Transferable Architectures Can Surpass Hand-Designed Architectures for Large Scale Speech Recognition0
Aphasic Speech Recognition using a Mixture of Speech Intelligibility Experts0
Improving Tail Performance of a Deliberation E2E ASR Model Using a Large Text Corpus0
Cross-Utterance Language Models with Acoustic Error Sampling0
Are Neural Open-Domain Dialog Systems Robust to Speech Recognition Errors in the Dialog History? An Empirical StudyCode0
Speech To Semantics: Improve ASR and NLU Jointly via All-Neural Interfaces0
Sum-Product Networks for Robust Automatic Speaker IdentificationCode1
Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition0
MASRI-HEADSET: A Maltese Corpus for Speech Recognition0
Large-scale Transfer Learning for Low-resource Spoken Language Understanding0
Online Automatic Speech Recognition with Listen, Attend and Spell Model0
Transfer Learning Approaches for Streaming End-to-End Speech Recognition System0
Investigation of End-To-End Speaker-Attributed ASR for Continuous Multi-Talker RecordingsCode1
Transformer with Bidirectional Decoder for Speech Recognition0
Subword Regularization: An Analysis of Scalability and Generalization for End-to-End Automatic Speech Recognition0
LRSpeech: Extremely Low-Resource Speech Synthesis and Recognition0
Distilling the Knowledge of BERT for Sequence-to-Sequence ASRCode1
Word Error Rate Estimation Without ASR Output: e-WER2Code1
Deep Learning Based Dereverberation of Temporal Envelopesfor Robust Speech Recognition0
Pretraining Techniques for Sequence-to-Sequence Voice ConversionCode1
Investigation of Speaker-adaptation methods in Transformer based ASR0
Unsupervised Cross-Domain Singing Voice Conversion0
Shouted Speech Compensation for Speaker Verification Robust to Vocal Effort Conditions0
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