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 2451–2460 of 3012 papers

Title	Date	Tasks	Status
Handling Numeric Expressions in Automatic Speech Recognition	Jul 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation	Aug 1, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Self-Supervised Learning for Multi-Channel Neural Transducer	Aug 6, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval	Aug 6, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder	Sep 21, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio	May 16, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors	May 16, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
2-bit Conformer quantization for automatic speech recognition	May 26, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
3-D Feature and Acoustic Modeling for Far-Field Speech Recognition	Nov 13, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
4-bit Quantization of LSTM-based Speech Recognition Models	Aug 27, 2021	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