SOTAVerified

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

Showing 276300 of 3012 papers

TitleStatusHype
ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact CentersCode1
A Reference-less Quality Metric for Automatic Speech Recognition via Contrastive-Learning of a Multi-Language Model with Self-SupervisionCode1
Combining Frame-Synchronous and Label-Synchronous Systems for Speech RecognitionCode1
ALIF: Low-Cost Adversarial Audio Attacks on Black-Box Speech Platforms using Linguistic FeaturesCode1
Consistent Training and Decoding For End-to-end Speech Recognition Using Lattice-free MMICode1
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy SpeechCode1
Continuous speech separation: dataset and analysisCode1
CORAA: a large corpus of spontaneous and prepared speech manually validated for speech recognition in Brazilian PortugueseCode1
Cross Attention Augmented Transducer Networks for Simultaneous TranslationCode1
CTC-synchronous Training for Monotonic Attention ModelCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
ASR Error Correction with Constrained Decoding on Operation PredictionCode1
ATCO2 corpus: A Large-Scale Dataset for Research on Automatic Speech Recognition and Natural Language Understanding of Air Traffic Control CommunicationsCode1
Deep Contextualized Acoustic Representations For Semi-Supervised Speech RecognitionCode1
Radically Old Way of Computing Spectra: Applications in End-to-End ASRCode1
MathSpeech: Leveraging Small LMs for Accurate Conversion in Mathematical Speech-to-FormulaCode1
A Persian ASR-based SER: Modification of Sharif Emotional Speech Database and Investigation of Persian Text CorporaCode1
Advancing Test-Time Adaptation in Wild Acoustic Test SettingsCode1
Distilling the Knowledge of BERT for Sequence-to-Sequence ASRCode1
Dual-decoder Transformer for Joint Automatic Speech Recognition and Multilingual Speech TranslationCode1
Dual-Path Style Learning for End-to-End Noise-Robust Speech RecognitionCode1
An efficient text augmentation approach for contextualized Mandarin speech recognition0
A deep-learning based native-language classification by using a latent semantic analysis for the NLI Shared Task 20170
An Efficient Self-Learning Framework For Interactive Spoken Dialog Systems0
An Efficient and Effective Online Sentence Segmenter for Simultaneous Interpretation0
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Benchmark Results

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