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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 1751–1775 of 3012 papers

TitleStatusHype
Self-Attention Channel Combinator Frontend for End-to-End Multichannel Far-field Speech Recognition—0
Coarse-To-Fine And Cross-Lingual ASR Transfer—0
Robustness of end-to-end Automatic Speech Recognition Models – A Case Study using Mozilla DeepSpeech—0
Tree-constrained Pointer Generator for End-to-end Contextual Speech Recognition—0
ASR-GLUE: A New Multi-task Benchmark for ASR-Robust Natural Language Understanding—0
Investigations on Speech Recognition Systems for Low-Resource Dialectal Arabic-English Code-Switching Speech—0
Improving callsign recognition with air-surveillance data in air-traffic communication—0
Grammar Based Speaker Role Identification for Air Traffic Control Speech Recognition—0
4-bit Quantization of LSTM-based Speech Recognition Models—0
Task-aware Warping Factors in Mask-based Speech Enhancement—0
Cross-domain Single-channel Speech Enhancement Model with Bi-projection Fusion Module for Noise-robust ASR—0
Reducing Exposure Bias in Training Recurrent Neural Network Transducers—0
Automatic Speech Recognition And Limited Vocabulary: A Survey—0
A Unified Transformer-based Framework for Duplex Text Normalization—0
Hierarchical Summarization for Longform Spoken Dialog—0
A Multi-level Acoustic Feature Extraction Framework for Transformer Based End-to-End Speech Recognition—0
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems—0
StarGAN-VC+ASR: StarGAN-based Non-Parallel Voice Conversion Regularized by Automatic Speech Recognition—0
The HW-TSC's Offline Speech Translation Systems for IWSLT 2021 Evaluation—0
End-to-End Speech Recognition With Joint Dereverberation Of Sub-Band Autoregressive EnvelopesCode0
Unsupervised Domain Adaptation in Speech Recognition using Phonetic Features—0
Dyn-ASR: Compact, Multilingual Speech Recognition via Spoken Language and Accent Identification—0
Improving Distinction between ASR Errors and Speech Disfluencies with Feature Space Interpolation—0
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation—0
Learning a Neural Diff for Speech Models—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