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 521–530 of 3012 papers

Title	Date	Tasks	Status	Hype
AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents	Feb 2, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Streaming Sequence Transduction through Dynamic Compression	Feb 2, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	0
Byte Pair Encoding Is All You Need For Automatic Bengali Speech Recognition	Jan 28, 2024	AllAutomatic Speech Recognition	—Unverified	0
Toward Practical Automatic Speech Recognition and Post-Processing: a Call for Explainable Error Benchmark Guideline	Jan 26, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
MF-AED-AEC: Speech Emotion Recognition by Leveraging Multimodal Fusion, Asr Error Detection, and Asr Error Correction	Jan 24, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Locality enhanced dynamic biasing and sampling strategies for contextual ASR	Jan 23, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Consistency Based Unsupervised Self-training For ASR Personalisation	Jan 22, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Keep Decoding Parallel with Effective Knowledge Distillation from Language Models to End-to-end Speech Recognisers	Jan 22, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Using Large Language Model for End-to-End Chinese ASR and NER	Jan 21, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified	0
Word-Level ASR Quality Estimation for Efficient Corpus Sampling and Post-Editing through Analyzing Attentions of a Reference-Free Metric	Jan 20, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available	1

Show:10 25 50

← PrevPage 53 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