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 841–850 of 3012 papers

Title	Date	Tasks	Status
ed-cec: improving rare word recognition using asr postprocessing based on error detection and context-aware error correction	Oct 8, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Spike-Triggered Contextual Biasing for End-to-End Mandarin Speech Recognition	Oct 7, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A privacy-preserving method using secret key for convolutional neural network-based speech classification	Oct 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Integrated Algorithm for Robust and Imperceptible Audio Adversarial Examples	Oct 5, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
UniverSLU: Universal Spoken Language Understanding for Diverse Tasks with Natural Language Instructions	Oct 4, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition	Oct 2, 2023	AllAutomatic Speech Recognition	—Unverified
AfriSpeech-200: Pan-African Accented Speech Dataset for Clinical and General Domain ASR	Sep 30, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition	Sep 29, 2023	Audio-Visual Speech RecognitionAutomatic Speech Recognition	—Unverified
The Gift of Feedback: Improving ASR Model Quality by Learning from User Corrections through Federated Learning	Sep 29, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Enabling Differentially Private Federated Learning for Speech Recognition: Benchmarks, Adaptive Optimizers and Gradient Clipping	Sep 29, 2023	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