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 2691–2700 of 3012 papers

Title	Date	Tasks	Status
An Application for Building a Polish Telephone Speech Corpus	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	—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
Interpersonal Relationship Labels for the CALLHOME Corpus	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	CodeCode Available
Improved Transcription and Indexing of Oral History Interviews for Digital Humanities Research	May 1, 2018	Automatic Speech Recognition (ASR)Robust Speech Recognition	—Unverified
Open ASR for Icelandic: Resources and a Baseline System	May 1, 2018	Automatic Speech Recognition (ASR)Language Modeling	—Unverified
Parallel Corpora in Mboshi (Bantu C25, Congo-Brazzaville)	May 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Phonetically Balanced Code-Mixed Speech Corpus for Hindi-English Automatic Speech Recognition	May 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Pronunciation Variants and ASR of Colloquial Speech: A Case Study on Czech	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	—Unverified
Evaluation of Feature-Space Speaker Adaptation for End-to-End Acoustic Models	May 1, 2018	Automatic Speech Recognition (ASR)Data Augmentation	—Unverified
Discovering Canonical Indian English Accents: A Crowdsourcing-based Approach	May 1, 2018	Automatic Speech Recognition (ASR)Speech Recognition	—Unverified

Show:10 25 50

← PrevPage 270 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