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 2521–2530 of 3012 papers

Title	Date	Tasks	Status
Distributed Deep Learning Strategies For Automatic Speech Recognition	Apr 10, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Performance Monitoring for End-to-End Speech Recognition	Apr 9, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Exploring Methods for the Automatic Detection of Errors in Manual Transcription	Apr 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Constrained Output Embeddings for End-to-End Code-Switching Speech Recognition with Only Monolingual Data	Apr 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Spoken Language Intent Detection using Confusion2Vec	Apr 7, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Token-Level Ensemble Distillation for Grapheme-to-Phoneme Conversion	Apr 6, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Impact of ASR on Alzheimer's Disease Detection: All Errors are Equal, but Deletions are More Equal than Others	Apr 2, 2019	AllAlzheimer's Disease Detection	—Unverified
Acoustically Grounded Word Embeddings for Improved Acoustics-to-Word Speech Recognition	Mar 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues	Mar 28, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition	Mar 22, 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