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 1351–1360 of 3012 papers

Title	Date	Tasks	Status
Improving the Training Recipe for a Robust Conformer-based Hybrid Model	Jun 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Meta Auxiliary Learning for Low-resource Spoken Language Understanding	Jun 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On Comparison of Encoders for Attention based End to End Speech Recognition in Standalone and Rescoring Mode	Jun 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi	Jun 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Confidence Score Based Conformer Speaker Adaptation for Speech Recognition	Jun 24, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Two-pass Decoding and Cross-adaptation Based System Combination of End-to-end Conformer and Hybrid TDNN ASR Systems	Jun 23, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Simple Baseline for Domain Adaptation in End to End ASR Systems Using Synthetic Data	Jun 22, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Supervision-Guided Codebooks for Masked Prediction in Speech Pre-training	Jun 21, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
The Makerere Radio Speech Corpus: A Luganda Radio Corpus for Automatic Speech Recognition	Jun 20, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Boosting Cross-Domain Speech Recognition with Self-Supervision	Jun 20, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available

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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