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 1751–1760 of 3012 papers

Title	Date	Tasks	Status
Phonological Pun-derstanding	Jun 1, 2016	Automatic Speech Recognition (ASR)Speech Recognition	—Unverified
Pitch-Aware RNN-T for Mandarin Chinese Mispronunciation Detection and Diagnosis	Jun 7, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
PI-Whisper: Designing an Adaptive and Incremental Automatic Speech Recognition System for Edge Devices	Jun 21, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
pMCT: Patched Multi-Condition Training for Robust Speech Recognition	Jul 11, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
PM-MMUT: Boosted Phone-Mask Data Augmentation using Multi-Modeling Unit Training for Phonetic-Reduction-Robust E2E Speech Recognition	Dec 13, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Polyphonic pitch detection with convolutional recurrent neural networks	Feb 4, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Post-decoder Biasing for End-to-End Speech Recognition of Multi-turn Medical Interview	Mar 1, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Post-Stroke Speech Transcription Challenge (Task B): Correctness Detection in Anomia Diagnosis with Imperfect Transcripts	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
power-law nonlinearity with maximally uniform distribution criterion for improved neural network training in automatic speech recognition	Dec 22, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Practical Application of Domain Dependent Confidence Measurement for Spoken Language Understanding Systems	Jun 1, 2018	Automatic Speech Recognition (ASR)Feature Engineering	—Unverified

Show:10 25 50

← PrevPage 176 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