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 2731–2740 of 3012 papers

Title	Date	Tasks	Status
Challenges in Speech Recognition and Translation of High-Value Low-Density Polysynthetic Languages	Mar 1, 2018	Automatic Speech Recognition (ASR)Machine Translation	—Unverified
On the Derivational Entropy of Left-to-Right Probabilistic Finite-State Automata and Hidden Markov Models	Mar 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages	Feb 23, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation	Feb 9, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Joint Modeling of Accents and Acoustics for Multi-Accent Speech Recognition	Feb 7, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Learning from Past Mistakes: Improving Automatic Speech Recognition Output via Noisy-Clean Phrase Context Modeling	Feb 7, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	CodeCode Available
Phonetic and Graphemic Systems for Multi-Genre Broadcast Transcription	Feb 1, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
A Corpus for Modeling Word Importance in Spoken Dialogue Transcripts	Jan 29, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition	Jan 24, 2018	Automatic Speech RecognitionAutomatic Speech Recognition (ASR)	—Unverified
Multilingual Training and Cross-lingual Adaptation on CTC-based Acoustic Model	Jan 23, 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