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 391–400 of 3012 papers

Title	Date	Tasks	Status
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network	May 2, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Alzheimer Disease Classification through ASR-based Transcriptions: Exploring the Impact of Punctuation and Pauses	Jun 6, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Cycle-GAN Approach to Model Natural Perturbations in Speech for ASR Applications	Dec 18, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Almost Unsupervised Text to Speech and Automatic Speech Recognition	May 13, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
All-neural online source separation, counting, and diarization for meeting analysis	Feb 21, 2019	AllAutomatic Speech Recognition	—Unverified
AC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech Recognition using Agnostic Contrastive Mixup	Oct 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain	Jun 3, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Universally-Deployable ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement, and Voice Separation	Sep 14, 2022	Acoustic echo cancellationAutomatic Speech Recognition	—Unverified
Audio Adversarial Examples for Robust Hybrid CTC/Attention Speech Recognition	Jul 21, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A two-step approach to leverage contextual data: speech recognition in air-traffic communications	Feb 8, 2022	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