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

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Showing 2101–2110 of 3012 papers

Title	Date	Tasks	Status
VenoMave: Targeted Poisoning Against Speech Recognition	Oct 21, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Towards End-to-End Training of Automatic Speech Recognition for Nigerian Pidgin	Oct 21, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Cascaded Models With Cyclic Feedback For Direct Speech Translation	Oct 21, 2020	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
Knowledge Distillation for Improved Accuracy in Spoken Question Answering	Oct 21, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
FastEmit: Low-latency Streaming ASR with Sequence-level Emission Regularization	Oct 21, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Replacing Human Audio with Synthetic Audio for On-device Unspoken Punctuation Prediction	Oct 20, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Knowledge Transfer for Efficient On-device False Trigger Mitigation	Oct 20, 2020	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
Towards Data Distillation for End-to-end Spoken Conversational Question Answering	Oct 18, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

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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