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 541–550 of 3012 papers

Title	Date	Tasks	Status	Score
Beyond Levenshtein: Leveraging Multiple Algorithms for Robust Word Error Rate Computations And Granular Error Classifications	Aug 28, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube	Apr 29, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Confidence Score Based Speaker Adaptation of Conformer Speech Recognition Systems	Feb 15, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Confusion2vec 2.0: Enriching Ambiguous Spoken Language Representations with Subwords	Feb 3, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Conditional independence for pretext task selection in Self-supervised speech representation learning	Apr 15, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Comparing Self-Supervised Learning Models Pre-Trained on Human Speech and Animal Vocalizations for Bioacoustics Processing	Jan 10, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Comparison and Analysis of New Curriculum Criteria for End-to-End ASR	Aug 10, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Confidence Estimation for Black Box Automatic Speech Recognition Systems Using Lattice Recurrent Neural Networks	Oct 25, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Continual Learning for Monolingual End-to-End Automatic Speech Recognition	Dec 17, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
BERSting at the Screams: A Benchmark for Distanced, Emotional and Shouted Speech Recognition	Apr 30, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5

Show:10 25 50

← PrevPage 55 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