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 1051–1060 of 3012 papers

Title	Date	Tasks	Status
Context-Aware Transformer Transducer for Speech Recognition	Nov 5, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Context-aware Neural-based Dialog Act Classification on Automatically Generated Transcriptions	Feb 28, 2019	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Context-aware Fine-tuning of Self-supervised Speech Models	Dec 16, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems	Apr 4, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Ain't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru	Feb 18, 2024	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages	Nov 7, 2020	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Accurate and Structured Pruning for Efficient Automatic Speech Recognition	May 31, 2023	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Content-Aware Speaker Embeddings for Speaker Diarisation	Feb 12, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Construction of a Large-scale Japanese ASR Corpus on TV Recordings	Mar 26, 2021	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Study of All-Convolutional Encoders for Connectionist Temporal Classification	Oct 28, 2017	AllAutomatic Speech Recognition	—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