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 1951–1960 of 3012 papers

Title	Date	Tasks	Status
Sequence Transduction with Graph-based Supervision	Nov 1, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Sequential Editing for Lifelong Training of Speech Recognition Models	Jun 25, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Sequential End-to-End Intent and Slot Label Classification and Localization	Jun 8, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SSCFormer: Push the Limit of Chunk-wise Conformer for Streaming ASR Using Sequentially Sampled Chunks and Chunked Causal Convolution	Nov 21, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Serialized Speech Information Guidance with Overlapped Encoding Separation for Multi-Speaker Automatic Speech Recognition	Sep 1, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Server-side Rescoring of Spoken Entity-centric Knowledge Queries for Virtual Assistants	Nov 2, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
SHEF-LIUM-NN: Sentence level Quality Estimation with Neural Network Features	Aug 1, 2016	Automatic Speech Recognition (ASR)Feature Engineering	—Unverified
使用生成對抗網路於強健式自動語音辨識的應用(Exploiting Generative Adversarial Network for Robustness Automatic Speech Recognition)	Oct 1, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Short-Term Word-Learning in a Dynamically Changing Environment	Mar 29, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Should We Always Separate?: Switching Between Enhanced and Observed Signals for Overlapping Speech Recognition	Jun 2, 2021	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