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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 101–150 of 3012 papers

TitleStatusHype
Extending Whisper with prompt tuning to target-speaker ASRCode1
Factorized Neural Transducer for Efficient Language Model AdaptationCode1
Automatic Severity Classification of Dysarthric speech by using Self-supervised Model with Multi-task LearningCode1
Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling InsightsCode1
Brazilian Portuguese Speech Recognition Using Wav2vec 2.0Code1
Adaptation of Whisper models to child speech recognitionCode1
End-to-End Automatic Speech Recognition for GujaratiCode1
Can we use Common Voice to train a Multi-Speaker TTS system?Code1
Adapting End-to-End Speech Recognition for Readable SubtitlesCode1
FlanEC: Exploring Flan-T5 for Post-ASR Error CorrectionCode1
Framework for Curating Speech Datasets and Evaluating ASR Systems: A Case Study for PolishCode1
CL-MASR: A Continual Learning Benchmark for Multilingual ASRCode1
End-to-End Speech Recognition and Disfluency RemovalCode1
Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMICode1
Efficient Neural Architecture Search for End-to-end Speech Recognition via Straight-Through GradientsCode1
Efficient conformer: Progressive downsampling and grouped attention for automatic speech recognitionCode1
How Does Pre-trained Wav2Vec 2.0 Perform on Domain Shifted ASR? An Extensive Benchmark on Air Traffic Control CommunicationsCode1
Combining Frame-Synchronous and Label-Synchronous Systems for Speech RecognitionCode1
Complex Dynamic Neurons Improved Spiking Transformer Network for Efficient Automatic Speech RecognitionCode1
Confidence Estimation for Attention-based Sequence-to-sequence Models for Speech RecognitionCode1
Improving Mandarin End-to-End Speech Recognition with Word N-gram Language ModelCode1
Improving Mandarin Speech Recogntion with Block-augmented TransformerCode1
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural NetworksCode1
Audio-Visual Efficient Conformer for Robust Speech RecognitionCode1
Incorporating External POS Tagger for Punctuation RestorationCode1
indic-punct: An automatic punctuation restoration and inverse text normalization framework for Indic languagesCode1
Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation ModelsCode1
EnCodecMAE: Leveraging neural codecs for universal audio representation learningCode1
Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language TextCode1
Accented Speech Recognition With Accent-specific CodebooksCode1
Earnings-22: A Practical Benchmark for Accents in the WildCode1
Automatic Disfluency Detection from Untranscribed SpeechCode1
DuplexMamba: Enhancing Real-time Speech Conversations with Duplex and Streaming CapabilitiesCode1
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech RecognitionCode1
End-to-end Audio-visual Speech Recognition with ConformersCode1
End-to-End Speech Recognition from Federated Acoustic ModelsCode1
A transfer learning based approach for pronunciation scoringCode1
A convolutional neural-network model of human cochlear mechanics and filter tuning for real-time applicationsCode1
Dompteur: Taming Audio Adversarial ExamplesCode1
A context-aware knowledge transferring strategy for CTC-based ASRCode1
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control CommunicationsCode1
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech TranslationCode1
Distilling Knowledge from Ensembles of Acoustic Models for Joint CTC-Attention End-to-End Speech RecognitionCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
ASR Error Correction with Constrained Decoding on Operation PredictionCode1
Distilling a Pretrained Language Model to a Multilingual ASR ModelCode1
Distilling the Knowledge of BERT for Sequence-to-Sequence ASRCode1
Advancing Test-Time Adaptation in Wild Acoustic Test SettingsCode1
A Study of Multilingual End-to-End Speech Recognition for Kazakh, Russian, and EnglishCode1
A Sidecar Separator Can Convert a Single-Talker Speech Recognition System to a Multi-Talker OneCode1
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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