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 2281–2290 of 3012 papers

Title	Date	Tasks	Status
Optimizing Byte-level Representation for End-to-end ASR	Jun 14, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
OTF: Optimal Transport based Fusion of Supervised and Self-Supervised Learning Models for Automatic Speech Recognition	Jun 5, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Overcoming Data Scarcity in Multi-Dialectal Arabic ASR via Whisper Fine-Tuning	Jun 3, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Overcoming Domain Mismatch in Low Resource Sequence-to-Sequence ASR Models using Hybrid Generated Pseudotranscripts	Jun 14, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership	Jun 1, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
OWSM-CTC: An Open Encoder-Only Speech Foundation Model for Speech Recognition, Translation, and Language Identification	Feb 20, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MAC: A unified framework boosting low resource automatic speech recognition	Feb 5, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville)	May 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Parallel Corpus for Japanese Spoken-to-Written Style Conversion	May 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Parameter-efficient Adaptation of Multilingual Multimodal Models for Low-resource ASR	Oct 17, 2024	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