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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 1041–1050 of 3012 papers

Title	Date	Tasks	Status	Hype
TRScore: A Novel GPT-based Readability Scorer for ASR Segmentation and Punctuation model evaluation and selection	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Streaming Voice Conversion Via Intermediate Bottleneck Features And Non-streaming Teacher Guidance	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Robust Data2vec: Noise-robust Speech Representation Learning for ASR by Combining Regression and Improved Contrastive Learning	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
SAN: a robust end-to-end ASR model architecture	Oct 27, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
End-to-End Speech to Intent Prediction to improve E-commerce Customer Support Voicebot in Hindi and English	Oct 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
There is more than one kind of robustness: Fooling Whisper with adversarial examples	Oct 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1
Efficient Utilization of Large Pre-Trained Models for Low Resource ASR	Oct 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Smart Speech Segmentation using Acousto-Linguistic Features with look-ahead	Oct 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
UFO2: A unified pre-training framework for online and offline speech recognition	Oct 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Reducing Language confusion for Code-switching Speech Recognition with Token-level Language Diarization	Oct 26, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0

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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