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 1391–1400 of 3012 papers

Title	Date	Tasks	Status
Building Open-source Speech Technology for Low-resource Minority Languages with SáMi as an Example – Tools, Methods and Experiments	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multilingual Transfer Learning for Children Automatic Speech Recognition	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
ParlamentParla: A Speech Corpus of Catalan Parliamentary Sessions	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Evaluation of Off-the-shelf Speech Recognizers on Different Accents in a Dialogue Domain	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Progress in Multilingual Speech Recognition for Low Resource Languages Kurmanji Kurdish, Cree and Inuktut	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Post-Stroke Speech Transcription Challenge (Task B): Correctness Detection in Anomia Diagnosis with Imperfect Transcripts	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Towards an Open-Source Dutch Speech Recognition System for the Healthcare Domain	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Mesures linguistiques automatiques pour l’évaluation des systèmes de Reconnaissance Automatique de la Parole (Automated linguistic measures for automatic speech recognition systems’ evaluation)	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
BEA-Base: A Benchmark for ASR of Spontaneous Hungarian	Jun 1, 2022	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Adversarial synthesis based data-augmentation for code-switched spoken language identification	May 30, 2022	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