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 311–320 of 3012 papers

Title	Date	Tasks	Status	Score
Killkan: The Automatic Speech Recognition Dataset for Kichwa with Morphosyntactic Information	Apr 23, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Language Complexity and Speech Recognition Accuracy: Orthographic Complexity Hurts, Phonological Complexity Doesn't	Jun 13, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Learning to adapt: a meta-learning approach for speaker adaptation	Aug 30, 2018	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
Iterative Pseudo-Labeling for Speech Recognition	May 19, 2020	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
Integrating Emotion Recognition with Speech Recognition and Speaker Diarisation for Conversations	Aug 14, 2023	Action DetectionActivity Detection	CodeCode Available	5
Interpersonal Relationship Labels for the CALLHOME Corpus	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	CodeCode Available	5
Instant One-Shot Word-Learning for Context-Specific Neural Sequence-to-Sequence Speech Recognition	Jul 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	5
Intrinsic evaluation of language models for code-switching	Nov 1, 2021	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