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 751775 of 3012 papers

TitleStatusHype
Lexical Speaker Error Correction: Leveraging Language Models for Speaker Diarization Error Correction0
Unified model for code-switching speech recognition and language identification based on a concatenated tokenizer0
Improving Code-Switching and Named Entity Recognition in ASR with Speech Editing based Data Augmentation0
DCTX-Conformer: Dynamic context carry-over for low latency unified streaming and non-streaming Conformer ASR0
Statistical Beamformer Exploiting Non-stationarity and Sparsity with Spatially Constrained ICA for Robust Speech Recognition0
On the N-gram Approximation of Pre-trained Language Models0
Multimodal Audio-textual Architecture for Robust Spoken Language Understanding0
Impact of Experiencing Misrecognition by Teachable Agents on Learning and Rapport0
Adversarial Training For Low-Resource Disfluency CorrectionCode0
A Theory of Unsupervised Speech RecognitionCode0
Improving Frame-level Classifier for Word Timings with Non-peaky CTC in End-to-End Automatic Speech Recognition0
An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders0
A study on the impact of Self-Supervised Learning on automatic dysarthric speech assessment0
Arabic Dysarthric Speech Recognition Using Adversarial and Signal-Based AugmentationCode0
Improving Fairness and Robustness in End-to-End Speech Recognition through unsupervised clustering0
Automatic Assessment of Oral Reading Accuracy for Reading Diagnostics0
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses0
OTF: Optimal Transport based Fusion of Supervised and Self-Supervised Learning Models for Automatic Speech Recognition0
Incorporating L2 Phonemes Using Articulatory Features for Robust Speech Recognition0
End-to-End Joint Target and Non-Target Speakers ASR0
SpellMapper: A non-autoregressive neural spellchecker for ASR customization with candidate retrieval based on n-gram mappings0
Advancing African-Accented Speech Recognition: Epistemic Uncertainty-Driven Data Selection for Generalizable ASR ModelsCode0
SGEM: Test-Time Adaptation for Automatic Speech Recognition via Sequential-Level Generalized Entropy MinimizationCode1
Explainability of Speech Recognition Transformers via Gradient-based Attention VisualizationCode0
Streaming Speech-to-Confusion Network Speech Recognition0
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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