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 1081–1090 of 3012 papers

Title	Date	Tasks	Status
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding	Apr 13, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Bridging Speech and Textual Pre-trained Models with Unsupervised ASR	Nov 6, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Unsupervised Speaker Clustering Technique based on SOM and I-vectors for Speech Recognition Systems	Apr 1, 2017	Automatic Speech Recognition (ASR)Clustering	—Unverified
Advancing Multi-talker ASR Performance with Large Language Models	Aug 30, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval	Aug 6, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Ensemble Chinese End-to-End Spoken Language Understanding for Abnormal Event Detection from audio stream	Oct 19, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Ensemble knowledge distillation of self-supervised speech models	Feb 24, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Error Correction in ASR using Sequence-to-Sequence Models	Feb 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Bridging Speech and Text: Enhancing ASR with Pinyin-to-Character Pre-training in LLMs	Sep 24, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
BridgeNets: Student-Teacher Transfer Learning Based on Recursive Neural Networks and its Application to Distant Speech Recognition	Oct 27, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

Show:10 25 50

← PrevPage 109 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