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 1491–1500 of 3012 papers

Title	Date	Tasks	Status
Importance of Different Temporal Modulations of Speech: A Tale of Two Perspectives	Mar 31, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Open Source MagicData-RAMC: A Rich Annotated Mandarin Conversational(RAMC) Speech Dataset	Mar 31, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Memory-Efficient Training of RNN-Transducer with Sampled Softmax	Mar 31, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Is Word Error Rate a good evaluation metric for Speech Recognition in Indic Languages?	Mar 30, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improving Speech Recognition for Indic Languages using Language Model	Mar 30, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Using Adapters to Overcome Catastrophic Forgetting in End-to-End Automatic Speech Recognition	Mar 30, 2022	AllAutomatic Speech Recognition	CodeCode Available
Code Switched and Code Mixed Speech Recognition for Indic languages	Mar 30, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Federated Domain Adaptation for ASR with Full Self-Supervision	Mar 30, 2022	Automatic Speech Recognition (ASR)Data Augmentation	—Unverified
Dynamic Latency for CTC-Based Streaming Automatic Speech Recognition With Emformer	Mar 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Analysis of EEG frequency bands for Envisioned Speech Recognition	Mar 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available

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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