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Automatic Speech Recognition (ASR)

Automatic Speech Recognition (ASR) involves converting spoken language into written text. It is designed to transcribe spoken words into text in real-time, allowing people to communicate with computers, mobile devices, and other technology using their voice. The goal of Automatic Speech Recognition is to accurately transcribe speech, taking into account variations in accent, pronunciation, and speaking style, as well as background noise and other factors that can affect speech quality.

Papers

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Showing 1301–1350 of 3012 papers

TitleStatusHype
Improving Hypernasality Estimation with Automatic Speech Recognition in Cleft Palate Speech—0
Thai Wav2Vec2.0 with CommonVoice V8Code0
Large vocabulary speech recognition for languages of Africa: multilingual modeling and self-supervised learning—0
Automatic Speech Recognition in German: A Detailed Error Analysis—0
Adversarial Attacks on ASR Systems: An Overview—0
Global Performance Disparities Between English-Language Accents in Automatic Speech Recognition—0
Multiple-hypothesis RNN-T Loss for Unsupervised Fine-tuning and Self-training of Neural Transducer—0
Domain Specific Wav2vec 2.0 Fine-tuning For The SE&R 2022 ChallengeCode0
Pronunciation-aware unique character encoding for RNN Transducer-based Mandarin speech recognition—0
Thutmose Tagger: Single-pass neural model for Inverse Text Normalization—0
Subword Dictionary Learning and Segmentation Techniques for Automatic Speech Recognition in Tamil and Kannada—0
Knowledge-driven Subword Grammar Modeling for Automatic Speech Recognition in Tamil and Kannada—0
Unsupervised data selection for Speech Recognition with contrastive loss ratios—0
Learning a Dual-Mode Speech Recognition Model via Self-Pruning—0
ASR Error Detection via Audio-Transcript entailment—0
Improving Data Driven Inverse Text Normalization using Data Augmentation—0
When Is TTS Augmentation Through a Pivot Language Useful?Code0
ILASR: Privacy-Preserving Incremental Learning for Automatic Speech Recognition at Production Scale—0
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding—0
End-to-End Spoken Language Understanding: Performance analyses of a voice command task in a low resource setting—0
Reducing Geographic Disparities in Automatic Speech Recognition via Elastic Weight Consolidation—0
Direction-Aware Joint Adaptation of Neural Speech Enhancement and Recognition in Real Multiparty Conversational Environments—0
Deep versus Wide: An Analysis of Student Architectures for Task-Agnostic Knowledge Distillation of Self-Supervised Speech Models—0
Data Augmentation for Low-Resource Quechua ASR Improvement—0
Huqariq: A Multilingual Speech Corpus of Native Languages of Peru for Speech Recognition—0
End-to-end speech recognition modeling from de-identified data—0
pMCT: Patched Multi-Condition Training for Robust Speech Recognition—0
Online Continual Learning of End-to-End Speech Recognition Models—0
Speaker Anonymization with Phonetic Intermediate Representations—0
Investigating the Impact of Cross-lingual Acoustic-Phonetic Similarities on Multilingual Speech Recognition—0
End-to-end Speech-to-Punctuated-Text Recognition—0
Improving Streaming End-to-End ASR on Transformer-based Causal Models with Encoder States Revision Strategies—0
Compute Cost Amortized Transformer for Streaming ASR—0
Vietnamese Capitalization and Punctuation Recovery ModelsCode0
Leveraging Acoustic Contextual Representation by Audio-textual Cross-modal Learning for Conversational ASR—0
Tree-constrained Pointer Generator with Graph Neural Network Encodings for Contextual Speech Recognition—0
Improving Transformer-based Conversational ASR by Inter-Sentential Attention Mechanism—0
Activity focused Speech Recognition of Preschool Children in Early Childhood Classrooms—0
Improving Low-Resource Speech Recognition with Pretrained Speech Models: Continued Pretraining vs. Semi-Supervised Training—0
Updating Only Encoders Prevents Catastrophic Forgetting of End-to-End ASR Models—0
Non-Autoregressive Chinese ASR Error Correction with Phonological Training—0
Exploring the Effect of Dialect Mismatched Language Models in Telugu Automatic Speech Recognition—0
BehancePR: A Punctuation Restoration Dataset for Livestreaming Video TranscriptCode0
FeaRLESS: Feature Refinement Loss for Ensembling Self-Supervised Learning Features in Robust End-to-end Speech Recognition—0
Space-Efficient Representation of Entity-centric Query Language Models—0
The THUEE System Description for the IARPA OpenASR21 Challenge—0
STOP: A dataset for Spoken Task Oriented Semantic Parsing—0
Bengali Common Voice Speech Dataset for Automatic Speech Recognition—0
TALCS: An Open-Source Mandarin-English Code-Switching Corpus and a Speech Recognition Baseline—0
Challenges and Opportunities in Multi-device Speech Processing—0
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All datasetsLRS2RealMANSagaleeHUI speech corpusLRS3-TEDM-AILabs speech datasetThe Spoken Wikipedia CorporaVoxforge GermanVoxPopuli

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TM-CTCTest WER10.1—Unverified
2TM-seq2seqTest WER9.7—Unverified
3CTC/attentionTest WER8.2—Unverified
4LF-MMI TDNNTest WER6.7—Unverified
5Whisper-LLaMATest WER6.6—Unverified
6End2end ConformerTest WER3.9—Unverified
7End2end ConformerTest WER3.7—Unverified
8MoCo + wav2vec (w/o extLM)Test WER2.7—Unverified
9CTC/AttentionTest WER1.5—Unverified
10WhisperTest WER1.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SpatialNetCER14.5—Unverified
2CleanMel-L-maskCER14.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerTest WER15.32—Unverified
2Whisper-largev3-finetunedTest WER10.82—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)1.89—Unverified
#ModelMetricClaimedVerifiedStatus
1DistillAVWER1.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)4.28—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)8.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)3.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer Transducer (German)WER (%)8.98—Unverified