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

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2151–2175 of 3012 papers

TitleStatusHype
The ILMT-s2s Corpus ― A Multimodal Interlingual Map Task Corpus—0
The Impact of Code-switched Synthetic Data Quality is Task Dependent: Insights from MT and ASR—0
The Indigenous Languages Technology project at NRC Canada: An empowerment-oriented approach to developing language software—0
The IWSLT 2016 Evaluation Campaign—0
The IWSLT 2021 BUT Speech Translation Systems—0
The JHU Multi-Microphone Multi-Speaker ASR System for the CHiME-6 Challenge—0
The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition—0
The MeMAD Submission to the IWSLT 2018 Speech Translation Task—0
The Multicultural Medical Assistant: Can LLMs Improve Medical ASR Errors Across Borders?—0
The Nijmegen Corpus of Casual Czech—0
The Norwegian Parliamentary Speech Corpus—0
The OCON model: an old but green solution for distributable supervised classification for acoustic monitoring in smart cities—0
The Perceptimatic English Benchmark for Speech Perception Models—0
The RoyalFlush System of Speech Recognition for M2MeT Challenge—0
The SAFE-T Corpus: A New Resource for Simulated Public Safety Communications—0
The Second DISPLACE Challenge : DIarization of SPeaker and LAnguage in Conversational Environments—0
The SI TEDx-UM speech database: a new Slovenian Spoken Language Resource—0
The Slovene BNSI Broadcast News database and reference speech corpus GOS: Towards the uniform guidelines for future work—0
The Sogou-TIIC Speech Translation System for IWSLT 2018—0
The Sound of Healthcare: Improving Medical Transcription ASR Accuracy with Large Language Models—0
The State of Commercial Automatic French Legal Speech Recognition Systems and their Impact on Court Reporters et al—0
The SUMMA Platform Prototype—0
The THUEE System Description for the IARPA OpenASR21 Challenge—0
The USFD Spoken Language Translation System for IWSLT 2014—0
The WaveSurfer Automatic Speech Recognition Plugin—0
Show:102550
← PrevPage 87 of 121Next →
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