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 1281–1290 of 3012 papers

Title	Date	Tasks	Status
Fully Neural Network Based Speech Recognition on Mobile and Embedded Devices	Dec 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Challenges of Computational Processing of Code-Switching	Oct 7, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fundamental Frequency Feature Normalization and Data Augmentation for Child Speech Recognition	Feb 18, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fusing ASR Outputs in Joint Training for Speech Emotion Recognition	Oct 29, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Efficiently Fusing Pretrained Acoustic and Linguistic Encoders for Low-resource Speech Recognition	Jan 17, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
FusionFormer: Fusing Operations in Transformer for Efficient Streaming Speech Recognition	Oct 31, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Fusion Models for Improved Visual Captioning	Oct 28, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
G2G: TTS-Driven Pronunciation Learning for Graphemic Hybrid ASR	Oct 22, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Gated Recurrent Fusion with Joint Training Framework for Robust End-to-End Speech Recognition	Nov 9, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Enhancing Speech Large Language Models with Prompt-Aware Mixture of Audio Encoders	Feb 21, 2025	Audio captioningAutomatic Speech Recognition	—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