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 301–310 of 3012 papers

Title	Date	Tasks	Status	Score
Language-Universal Adapter Learning with Knowledge Distillation for End-to-End Multilingual Speech Recognition	Feb 28, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Kurdish (Sorani) Speech to Text: Presenting an Experimental Dataset	Nov 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
A Deep Dive into the Disparity of Word Error Rates Across Thousands of NPTEL MOOC Videos	Jul 20, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Addressing Pitfalls in Auditing Practices of Automatic Speech Recognition Technologies: A Case Study of People with Aphasia	Jun 10, 2025	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
A Dataset for Speech Emotion Recognition in Greek Theatrical Plays	Mar 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
A Comparative Study on Transformer vs RNN in Speech Applications	Sep 13, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
An Automatic Speech Recognition System for Bengali Language based on Wav2Vec2 and Transfer Learning	Sep 16, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic Information	Apr 23, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Iterative pseudo-forced alignment by acoustic CTC loss for self-supervised ASR domain adaptation	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Investigating the Effects of Word Substitution Errors on Sentence Embeddings	Nov 16, 2018	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