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 2501–2510 of 3012 papers

Title	Date	Tasks	Status
A Conformer-based Waveform-domain Neural Acoustic Echo Canceller Optimized for ASR Accuracy	May 6, 2022	Acoustic echo cancellationAutomatic Speech Recognition	—Unverified
A Corpus and Phonetic Dictionary for Tunisian Arabic Speech Recognition	May 1, 2014	Arabic Speech RecognitionAutomatic Speech Recognition	—Unverified
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts	Jan 29, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Corpus of Read and Spontaneous Upper Saxon German Speech for ASR Evaluation	May 1, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Acoustically Grounded Word Embeddings for Improved Acoustics-to-Word Speech Recognition	Mar 29, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Acoustic and Textual Data Augmentation for Improved ASR of Code-Switching Speech	Jul 28, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition	Apr 19, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Acoustic Model Compression with MAP adaptation	May 1, 2017	Automatic Speech Recognition (ASR)model	—Unverified
Acoustic Model Fusion for End-to-end Speech Recognition	Oct 10, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition	Jul 10, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified

Show:10 25 50

← PrevPage 251 of 302Next →

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