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 961–970 of 3012 papers

Title	Date	Tasks	Status
Dual Language Models for Code Switched Speech Recognition	Nov 3, 2017	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Continuous Learning for Children's ASR: Overcoming Catastrophic Forgetting with Elastic Weight Consolidation and Synaptic Intelligence	May 26, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Dual Script E2E framework for Multilingual and Code-Switching ASR	Jun 2, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DUAL: Textless Spoken Question Answering with Speech Discrete Unit Adaptive Learning	Jan 16, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings	May 15, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DualVC 3: Leveraging Language Model Generated Pseudo Context for End-to-end Low Latency Streaming Voice Conversion	Jun 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DualVoice: Speech Interaction that Discriminates between Normal and Whispered Voice Input	Aug 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
DuDe: Dual-Decoder Multilingual ASR for Indian Languages using Common Label Set	Oct 30, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Adapter Based Pre-Training for Efficient and Scalable Self-Supervised Speech Representation Learning	Jul 26, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Asynchronous Decentralized Distributed Training of Acoustic Models	Oct 21, 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