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 2511–2520 of 3012 papers

Title	Date	Tasks	Status
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors	Apr 24, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Realizing Petabyte Scale Acoustic Modeling	Apr 24, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Natural Language Interactions in Autonomous Vehicles: Intent Detection and Slot Filling from Passenger Utterances	Apr 23, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Investigation of End-to-End Multichannel Speech Recognition for Reverberant and Mismatch Conditions	Apr 19, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
TTS Skins: Speaker Conversion via ASR	Apr 18, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Hard Sample Mining for the Improved Retraining of Automatic Speech Recognition	Apr 17, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Guiding CTC Posterior Spike Timings for Improved Posterior Fusion and Knowledge Distillation	Apr 17, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Multi-Task Learning Framework for Overcoming the Catastrophic Forgetting in Automatic Speech Recognition	Apr 17, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
STC Speaker Recognition Systems for the VOiCES From a Distance Challenge	Apr 12, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Unsupervised Speech Domain Adaptation Based on Disentangled Representation Learning for Robust Speech Recognition	Apr 12, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available

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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