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 1661–1670 of 3012 papers

Title	Date	Tasks	Status
On-Device detection of sentence completion for voice assistants with low-memory footprint	Dec 1, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On-Device Personalization of Automatic Speech Recognition Models for Disordered Speech	Jun 18, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On-Device Speaker Anonymization of Acoustic Embeddings for ASR based onFlexible Location Gradient Reversal Layer	Jul 25, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
One model to enhance them all: array geometry agnostic multi-channel personalized speech enhancement	Oct 20, 2021	AllAutomatic Speech Recognition	—Unverified
One model to rule them all ? Towards End-to-End Joint Speaker Diarization and Speech Recognition	Oct 2, 2023	AllAutomatic Speech Recognition	—Unverified
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers	Jun 26, 2019	AllAutomatic Speech Recognition	—Unverified
One-To-Many Multilingual End-to-end Speech Translation	Oct 8, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On Knowledge Distillation for Direct Speech Translation	Dec 9, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On Knowledge Distillation for Translating Erroneous Speech Transcriptions	Aug 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
On lattice-free boosted MMI training of HMM and CTC-based full-context ASR models	Jul 9, 2021	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