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 1981–1990 of 3012 papers

Title	Date	Tasks	Status
Deep Learning based Multi-Source Localization with Source Splitting and its Effectiveness in Multi-Talker Speech Recognition	Feb 16, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving speech recognition models with small samples for air traffic control systems	Feb 16, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
End-to-End Automatic Speech Recognition with Deep Mutual Learning	Feb 16, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Thank you for Attention: A survey on Attention-based Artificial Neural Networks for Automatic Speech Recognition	Feb 14, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Bi-APC: Bidirectional Autoregressive Predictive Coding for Unsupervised Pre-training and Its Application to Children's ASR	Feb 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Content-Aware Speaker Embeddings for Speaker Diarisation	Feb 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Hybrid phonetic-neural model for correction in speech recognition systems	Feb 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Multimodal Punctuation Prediction with Contextual Dropout	Feb 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Do as I mean, not as I say: Sequence Loss Training for Spoken Language Understanding	Feb 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
NUVA: A Naming Utterance Verifier for Aphasia Treatment	Feb 10, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

Show:10 25 50

← PrevPage 199 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