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 1481–1490 of 3012 papers

Title	Date	Tasks	Status
Adversarial Black-Box Attacks on Automatic Speech Recognition Systems using Multi-Objective Evolutionary Optimization	Nov 4, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Conformer-based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation	Nov 18, 2021	Acoustic echo cancellationAutomatic Speech Recognition	—Unverified
Improving RNN transducer with normalized jointer network	Nov 3, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Robustness of Neural Inverse Text Normalization via Data-Augmentation, Semi-Supervised Learning, and Post-Aligning Method	Sep 12, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Scheduled Sampling for Neural Transducer-based ASR	May 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring the Role of Audio in Video Captioning	Jun 21, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring the Integration of Speech Separation and Recognition with Self-Supervised Learning Representation	Jul 23, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Random Utterance Concatenation Based Data Augmentation for Improving Short-video Speech Recognition	Oct 28, 2022	Action DetectionActivity Detection	—Unverified
Improving Speech-based Emotion Recognition with Contextual Utterance Analysis and LLMs	Oct 27, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Building Open-source Speech Technology for Low-resource Minority Languages with SáMi as an Example – Tools, Methods and Experiments	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

Show:10 25 50

← PrevPage 149 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