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 76100 of 3012 papers

TitleStatusHype
Automatic speech recognition for the Nepali language using CNN, bidirectional LSTM and ResNetCode1
Continual Test-time Adaptation for End-to-end Speech Recognition on Noisy SpeechCode1
LipGER: Visually-Conditioned Generative Error Correction for Robust Automatic Speech RecognitionCode1
A Variance-Preserving Interpolation Approach for Diffusion Models with Applications to Single Channel Speech Enhancement and RecognitionCode1
SoccerNet-Echoes: A Soccer Game Audio Commentary DatasetCode1
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation ModelsCode1
Unveiling the Potential of LLM-Based ASR on Chinese Open-Source DatasetsCode1
Less Peaky and More Accurate CTC Forced Alignment by Label PriorsCode1
Speech Robust Bench: A Robustness Benchmark For Speech RecognitionCode1
A Cross-Modal Approach to Silent Speech with LLM-Enhanced RecognitionCode1
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech RecognitionCode1
REBORN: Reinforcement-Learned Boundary Segmentation with Iterative Training for Unsupervised ASRCode1
Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free MetricCode1
Extending Whisper with prompt tuning to target-speaker ASRCode1
D4AM: A General Denoising Framework for Downstream Acoustic ModelsCode1
Improving Whispered Speech Recognition Performance using Pseudo-whispered based Data AugmentationCode1
Improved Child Text-to-Speech Synthesis through Fastpitch-based Transfer LearningCode1
Multilingual DistilWhisper: Efficient Distillation of Multi-task Speech Models via Language-Specific ExpertsCode1
Automatic Disfluency Detection from Untranscribed SpeechCode1
Developing a Multilingual Dataset and Evaluation Metrics for Code-Switching: A Focus on Hong Kong's Polylingual DynamicsCode1
CL-MASR: A Continual Learning Benchmark for Multilingual ASRCode1
ArTST: Arabic Text and Speech TransformerCode1
Accented Speech Recognition With Accent-specific CodebooksCode1
Advancing Test-Time Adaptation in Wild Acoustic Test SettingsCode1
Speech collage: code-switched audio generation by collaging monolingual corporaCode1
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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