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 Added Most Hyped Most Active Needs Verification Most Verified

Showing 1161–1170 of 3012 papers

Title	Date	Tasks	Status
Clinical BERTScore: An Improved Measure of Automatic Speech Recognition Performance in Clinical Settings	Mar 10, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Cleanformer: A multichannel array configuration-invariant neural enhancement frontend for ASR in smart speakers	Apr 25, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Simple Baseline for Domain Adaptation in End to End ASR Systems Using Synthetic Data	Jun 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Classification of Closely Related Sub-dialects of Arabic Using Support-Vector Machines	May 1, 2018	Automatic Speech Recognition (ASR)General Classification	—Unverified
Citrinet: Closing the Gap between Non-Autoregressive and Autoregressive End-to-End Models for Automatic Speech Recognition	Apr 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Chinese Medical Speech Recognition with Punctuated Hypothesis	Oct 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Semi-Automated Live Interlingual Communication Workflow Featuring Intralingual Respeaking: Evaluation and Benchmarking	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Fine-tuned Wav2vec 2.0/HuBERT Benchmark For Speech Emotion Recognition, Speaker Verification and Spoken Language Understanding	Nov 4, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Corpus of Read and Spontaneous Upper Saxon German Speech for ASR Evaluation	May 1, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Chinese-LiPS: A Chinese audio-visual speech recognition dataset with Lip-reading and Presentation Slides	Apr 21, 2025	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified

Show:10 25 50

← PrevPage 117 of 302Next →

All datasets LRS2 RealMAN Sagalee HUI speech corpus LRS3-TED M-AILabs speech dataset The Spoken Wikipedia Corpora Voxforge German VoxPopuli

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	TM-CTC	Test WER	10.1	—	Unverified
2	TM-seq2seq	Test WER	9.7	—	Unverified
3	CTC/attention	Test WER	8.2	—	Unverified
4	LF-MMI TDNN	Test WER	6.7	—	Unverified
5	Whisper-LLaMA	Test WER	6.6	—	Unverified
6	End2end Conformer	Test WER	3.9	—	Unverified
7	End2end Conformer	Test WER	3.7	—	Unverified
8	MoCo + wav2vec (w/o extLM)	Test WER	2.7	—	Unverified
9	CTC/Attention	Test WER	1.5	—	Unverified
10	Whisper	Test WER	1.3	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	SpatialNet	CER	14.5	—	Unverified
2	CleanMel-L-mask	CER	14.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer	Test WER	15.32	—	Unverified
2	Whisper-largev3-finetuned	Test WER	10.82	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	1.89	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DistillAV	WER	1.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	4.28	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	8.04	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer	WER (%)	3.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Conformer Transducer (German)	WER (%)	8.98	—	Unverified