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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 176–200 of 3012 papers

TitleStatusHype
Sentiment Word Aware Multimodal Refinement for Multimodal Sentiment Analysis with ASR ErrorsCode1
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech RecognitionCode1
AISHELL-NER: Named Entity Recognition from Chinese SpeechCode1
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech RecognitionCode1
Streaming Multi-Talker ASR with Token-Level Serialized Output TrainingCode1
Unified Multimodal Punctuation Restoration Framework for Mixed-Modality CorpusCode1
Improving Mandarin End-to-End Speech Recognition with Word N-gram Language ModelCode1
Regularizing End-to-End Speech Translation with Triangular Decomposition AgreementCode1
X-Vector based voice activity detection for multi-genre broadcast speech-to-textCode1
Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMICode1
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural SpeechCode1
MT3: Multi-Task Multitrack Music TranscriptionCode1
A transfer learning based approach for pronunciation scoringCode1
Cross Attention Augmented Transducer Networks for Simultaneous TranslationCode1
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian PortugueseCode1
SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language ProcessingCode1
BERTraffic: BERT-based Joint Speaker Role and Speaker Change Detection for Air Traffic Control CommunicationsCode1
Interactive Feature Fusion for End-to-End Noise-Robust Speech RecognitionCode1
K-Wav2vec 2.0: Automatic Speech Recognition based on Joint Decoding of Graphemes and SyllablesCode1
FAST-RIR: Fast neural diffuse room impulse response generatorCode1
Factorized Neural Transducer for Efficient Language Model AdaptationCode1
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech RecognitionCode1
Vietnamese end-to-end speech recognition using wav2vec 2.0Code1
Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognitionCode1
Knowledge Distillation from BERT Transformer to Speech Transformer for Intent ClassificationCode1
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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