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 2951–2960 of 3012 papers

Title	Date	Tasks	Status
Feature selection using Fisher's ratio technique for automatic speech recognition	May 13, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Entity Linking for Spoken Language	May 1, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Sentence segmentation of aphasic speech	May 1, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
An Incremental Algorithm for Transition-based CCG Parsing	May 1, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multitask Learning for Adaptive Quality Estimation of Automatically Transcribed Utterances	May 1, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Assessing the Performance of Automatic Speech Recognition Systems When Used by Native and Non-Native Speakers of Three Major Languages in Dictation Workflows	May 1, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution	Apr 27, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Deep Recurrent Neural Networks for Acoustic Modelling	Apr 7, 2015	Acoustic ModellingAutomatic Speech Recognition	—Unverified
Transferring Knowledge from a RNN to a DNN	Apr 7, 2015	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Modeling State-Conditional Observation Distribution using Weighted Stereo Samples for Factorial Speech Processing Models	Mar 9, 2015	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