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 41–50 of 3012 papers

Title	Date	Tasks	Status
Improving Multilingual Speech Models on ML-SUPERB 2.0: Fine-tuning with Data Augmentation and LID-Aware CTC	May 30, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Dynamic Context-Aware Streaming Pretrained Language Model For Inverse Text Normalization	May 30, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MSDA: Combining Pseudo-labeling and Self-Supervision for Unsupervised Domain Adaptation in ASR	May 30, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fewer Hallucinations, More Verification: A Three-Stage LLM-Based Framework for ASR Error Correction	May 30, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
BeaverTalk: Oregon State University's IWSLT 2025 Simultaneous Speech Translation System	May 29, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Prompting Whisper for Improved Verbatim Transcription and End-to-end Miscue Detection	May 29, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Contextualized Automatic Speech Recognition with Dynamic Vocabulary Prediction and Activation	May 29, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
NGPU-LM: GPU-Accelerated N-Gram Language Model for Context-Biasing in Greedy ASR Decoding	May 28, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Advancing Hearing Assessment: An ASR-Based Frequency-Specific Speech Test for Diagnosing Presbycusis	May 28, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
PSRB: A Comprehensive Benchmark for Evaluating Persian ASR Systems	May 27, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

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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