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 421–430 of 3012 papers

Title	Date	Tasks	Status	Score
Evaluation of Neural Architectures Trained with Square Loss vs Cross-Entropy in Classification Tasks	Jun 12, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
mHuBERT-147: A Compact Multilingual HuBERT Model	Jun 10, 2024	Automatic Speech Recognition (ASR)Diversity	CodeCode Available	5
Explainability of Speech Recognition Transformers via Gradient-based Attention Visualization	Jun 2, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Enhancing Quantised End-to-End ASR Models via Personalisation	Sep 17, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
MLS: A Large-Scale Multilingual Dataset for Speech Research	Dec 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
ASR Benchmarking: Need for a More Representative Conversational Dataset	Sep 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Multi-Stage Speaker Diarization for Noisy Classrooms	May 16, 2025	Action DetectionActivity Detection	CodeCode Available	5
Enhanced ASR Robustness to Packet Loss with a Front-End Adaptation Network	Jun 27, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Exploiting Attention-based Sequence-to-Sequence Architectures for Sound Event Localization	Feb 28, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
FLEURS: Few-shot Learning Evaluation of Universal Representations of Speech	May 25, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5

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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