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 2281–2290 of 3012 papers

Title	Date	Tasks	Status
RSC: A Romanian Read Speech Corpus for Automatic Speech Recognition	May 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multiresolution and Multimodal Speech Recognition with Transformers	Apr 29, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube	Apr 29, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Jointly Trained Transformers models for Spoken Language Translation	Apr 25, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
End-to-end speech-to-dialog-act recognition	Apr 23, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Study of Non-autoregressive Model for Sequence Generation	Apr 22, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ESPnet-ST: All-in-One Speech Translation Toolkit	Apr 21, 2020	AllAutomatic Speech Recognition	—Unverified
Speaker Diarization with Lexical Information	Apr 13, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Punctuation Prediction in Spontaneous Conversations: Can We Mitigate ASR Errors with Retrofitted Word Embeddings?	Apr 13, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Readability for Automatic Speech Recognition Transcription	Apr 9, 2020	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