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 201225 of 3012 papers

TitleStatusHype
ÌròyìnSpeech: A multi-purpose Yorùbá Speech CorpusCode1
It's Never Too Late: Fusing Acoustic Information into Large Language Models for Automatic Speech RecognitionCode1
Automatic Disfluency Detection from Untranscribed SpeechCode1
KoSpeech: Open-Source Toolkit for End-to-End Korean Speech RecognitionCode1
Automatic Speech Recognition Benchmark for Air-Traffic CommunicationsCode1
Language Models with Image Descriptors are Strong Few-Shot Video-Language LearnersCode1
A Variance-Preserving Interpolation Approach for Diffusion Models with Applications to Single Channel Speech Enhancement and RecognitionCode1
Audio-Visual Efficient Conformer for Robust Speech RecognitionCode1
Learning to Count Words in Fluent Speech enables Online Speech RecognitionCode1
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from SpeechCode1
Attentive Sequence-to-Sequence Learning for Diacritic Restoration of Yorùbá Language TextCode1
Leveraging Unimodal Self-Supervised Learning for Multimodal Audio-Visual Speech RecognitionCode1
Adaptation of Whisper models to child speech recognitionCode1
LightHuBERT: Lightweight and Configurable Speech Representation Learning with Once-for-All Hidden-Unit BERTCode1
Audio-Visual Representation Learning via Knowledge Distillation from Speech Foundation ModelsCode1
LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech RecognitionCode1
Making More of Little Data: Improving Low-Resource Automatic Speech Recognition Using Data AugmentationCode1
Mamba for Streaming ASR Combined with Unimodal AggregationCode1
Attention-based Audio-Visual Fusion for Robust Automatic Speech RecognitionCode1
metaCAT: A Metadata-based Task-oriented Chatbot Annotation ToolCode1
Minimum Word Error Rate Training for Attention-based Sequence-to-Sequence ModelsCode1
Mitigating the Impact of Speech Recognition Errors on Spoken Question Answering by Adversarial Domain AdaptationCode1
A transfer learning based approach for pronunciation scoringCode1
Multilingual and code-switching ASR challenges for low resource Indian languagesCode1
Attention-based Contextual Language Model Adaptation for Speech RecognitionCode1
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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