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 2571–2580 of 3012 papers

Title	Date	Tasks	Status
AfriNames: Most ASR models "butcher" African Names	Jun 1, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR	Sep 30, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Afrispeech-Dialog: A Benchmark Dataset for Spontaneous English Conversations in Healthcare and Beyond	Feb 6, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
AGADIR: Towards Array-Geometry Agnostic Directional Speech Recognition	Jan 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A GEN AI Framework for Medical Note Generation	Sep 27, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A General Multi-Task Learning Framework to Leverage Text Data for Speech to Text Tasks	Oct 21, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Generative Model of a Pronunciation Lexicon for Hindi	May 6, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Genetic Programming Approach To Zero-Shot Neural Architecture Ranking	Oct 8, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Agent-Aware Dropout DQN for Safe and Efficient On-line Dialogue Policy Learning	Sep 1, 2017	Automatic Speech Recognition (ASR)Dialogue Management	—Unverified
A Hardware-Oriented and Memory-Efficient Method for CTC Decoding	May 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

Show:10 25 50

← PrevPage 258 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