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 1521–1530 of 3012 papers

Title	Date	Tasks	Status
ML-SUPERB 2.0: Benchmarking Multilingual Speech Models Across Modeling Constraints, Languages, and Datasets	Jun 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MMGER: Multi-modal and Multi-granularity Generative Error Correction with LLM for Joint Accent and Speech Recognition	May 6, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech Recognition	Nov 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MobileASR: A resource-aware on-device learning framework for user voice personalization applications on mobile phones	Jun 15, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
MOCCA: Measure of Confidence for Corpus Analysis - Automatic Reliability Check of Transcript and Automatic Segmentation	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	—Unverified
Model Adaptation for ASR in low-resource Indian Languages	Jul 16, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Model-Based Approach for Measuring the Fairness in ASR	Sep 19, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Modeling Acoustic-Prosodic Cues for Word Importance Prediction in Spoken Dialogues	Mar 28, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Modeling Concept Dependencies in a Scientific Corpus	Aug 1, 2016	Automatic Speech Recognition (ASR)Language Modeling	—Unverified
Modeling Confidence in Sequence-to-Sequence Models	Oct 4, 2019	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