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Automatic Speech Recognition

Papers

Showing 17011725 of 3174 papers

TitleStatusHype
The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge0
Joint Speech Recognition and Audio Captioning0
The RoyalFlush System of Speech Recognition for M2MeT Challenge0
Streaming Multi-Talker ASR with Token-Level Serialized Output TrainingCode1
ASR-Aware End-to-end Neural Diarization0
Error Correction in ASR using Sequence-to-Sequence Models0
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT0
Language Dependencies in Adversarial Attacks on Speech Recognition Systems0
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian0
Visualizing Automatic Speech Recognition -- Means for a Better Understanding?0
Reducing language context confusion for end-to-end code-switching automatic speech recognition0
Star Temporal Classification: Sequence Classification with Partially Labeled DataCode0
Synthesizing Dysarthric Speech Using Multi-talker TTS for Dysarthric Speech Recognition0
Sentiment-Aware Automatic Speech Recognition pre-training for enhanced Speech Emotion Recognition0
Discovering Phonetic Inventories with Crosslingual Automatic Speech RecognitionCode0
On the Effectiveness of Pinyin-Character Dual-Decoding for End-to-End Mandarin Chinese ASR0
The Norwegian Parliamentary Speech Corpus0
Improving the fusion of acoustic and text representations in RNN-T0
Improving non-autoregressive end-to-end speech recognition with pre-trained acoustic and language models0
Run-and-back stitch search: novel block synchronous decoding for streaming encoder-decoder ASR0
Transformer-Based Video Front-Ends for Audio-Visual Speech Recognition for Single and Multi-Person Video0
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality CorpusCode1
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition0
How Bad Are Artifacts?: Analyzing the Impact of Speech Enhancement Errors on ASR0
Human and Automatic Speech Recognition Performance on German Oral History Interviews0
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