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 1731–1740 of 3012 papers

Title	Date	Tasks	Status
Training variance and performance evaluation of neural networks in speech	Jun 14, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Train your classifier first: Cascade Neural Networks Training from upper layers to lower layers	Feb 9, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transcending Controlled Environments Assessing the Transferability of ASRRobust NLU Models to Real-World Applications	Jan 12, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
TranscRater: a Tool for Automatic Speech Recognition Quality Estimation	Aug 1, 2016	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transcribe, Align and Segment: Creating speech datasets for low-resource languages	Jun 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transcribe-to-Diarize: Neural Speaker Diarization for Unlimited Number of Speakers using End-to-End Speaker-Attributed ASR	Oct 7, 2021	Action DetectionActivity Detection	—Unverified
Transcribing and Translating, Fast and Slow: Joint Speech Translation and Recognition	Dec 19, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transcribing Educational Videos Using Whisper: A preliminary study on using AI for transcribing educational videos	Jul 4, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transcription-Free Fine-Tuning of Speech Separation Models for Noisy and Reverberant Multi-Speaker Automatic Speech Recognition	Jun 13, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transcript-Prompted Whisper with Dictionary-Enhanced Decoding for Japanese Speech Annotation	Jun 9, 2025	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