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 1431–1440 of 3012 papers

Title	Date	Tasks	Status	Hype
Efficient Adapter Transfer of Self-Supervised Speech Models for Automatic Speech Recognition	Feb 7, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Polyphonic pitch detection with convolutional recurrent neural networks	Feb 4, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
The CUHK-TENCENT speaker diarization system for the ICASSP 2022 multi-channel multi-party meeting transcription challenge	Feb 4, 2022	Action DetectionActivity Detection	—Unverified	0
Joint Speech Recognition and Audio Captioning	Feb 3, 2022	AudioCapsAudio captioning	—Unverified	0
The RoyalFlush System of Speech Recognition for M2MeT Challenge	Feb 3, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Streaming Multi-Talker ASR with Token-Level Serialized Output Training	Feb 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
ASR-Aware End-to-end Neural Diarization	Feb 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
RescoreBERT: Discriminative Speech Recognition Rescoring with BERT	Feb 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Error Correction in ASR using Sequence-to-Sequence Models	Feb 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Language Dependencies in Adversarial Attacks on Speech Recognition Systems	Feb 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0

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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