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 2681–2690 of 3012 papers

Title	Date	Tasks	Status
ADAGIO: Interactive Experimentation with Adversarial Attack and Defense for Audio	May 30, 2018	Adversarial AttackAudio Compression	—Unverified
Multimodal Speaker Segmentation and Diarization using Lexical and Acoustic Cues via Sequence to Sequence Neural Networks	May 28, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Mixed-Precision Training for NLP and Speech Recognition with OpenSeq2Seq	May 25, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
ASR-based Features for Emotion Recognition: A Transfer Learning Approach	May 23, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Targeted Adversarial Examples for Black Box Audio Systems	May 20, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces	May 18, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese	May 16, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Improved ASR for Under-Resourced Languages Through Multi-Task Learning with Acoustic Landmarks	May 15, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Transfer Learning from Adult to Children for Speech Recognition: Evaluation, Analysis and Recommendations	May 8, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Boosting Noise Robustness of Acoustic Model via Deep Adversarial Training	May 2, 2018	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