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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 751–775 of 3012 papers

TitleStatusHype
ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment—0
Learning Video Representations using Contrastive Bidirectional Transformer—0
Contrastive Semi-supervised Learning for ASR—0
Contribution \`a l'\'etude de la variabilit\'e de la voix des personnes \^ag\'ees en reconnaissance automatique de la parole (Contribution to the study of elderly people's voice variability in automatic speech recognition) [in French]—0
Controllable Time-Delay Transformer for Real-Time Punctuation Prediction and Disfluency Detection—0
Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications—0
Conversational Speech Recognition By Learning Conversation-level Characteristics—0
Conversational Speech Recognition by Learning Audio-textual Cross-modal Contextual Representation—0
Articulatory Features for ASR of Pathological Speech—0
Conversational Speech Recognition Needs Data? Experiments with Austrian German—0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface—0
Convolutional Speech Recognition with Pitch and Voice Quality Features—0
Convolutional Variational Autoencoders for Spectrogram Compression in Automatic Speech Recognition—0
Conv-Transformer Transducer: Low Latency, Low Frame Rate, Streamable End-to-End Speech Recognition—0
Adversarial Training for Multilingual Acoustic Modeling—0
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder—0
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech—0
Corpora for Cross-Language Information Retrieval in Six Less-Resourced Languages—0
Corpus Generation for Voice Command in Smart Home and the Effect of Speech Synthesis on End-to-End SLU—0
Corpus Phonetics Tutorial—0
Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter—0
Correction Focused Language Model Training for Speech Recognition—0
A review of on-device fully neural end-to-end automatic speech recognition algorithms—0
Correlated Bigram LSA for Unsupervised Language Model Adaptation—0
Cascaded Models With Cyclic Feedback For Direct Speech Translation—0
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All datasetsLRS2RealMANSagaleeHUI speech corpusLRS3-TEDM-AILabs speech datasetThe Spoken Wikipedia CorporaVoxforge GermanVoxPopuli

Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TM-CTCTest WER10.1—Unverified
2TM-seq2seqTest WER9.7—Unverified
3CTC/attentionTest WER8.2—Unverified
4LF-MMI TDNNTest WER6.7—Unverified
5Whisper-LLaMATest WER6.6—Unverified
6End2end ConformerTest WER3.9—Unverified
7End2end ConformerTest WER3.7—Unverified
8MoCo + wav2vec (w/o extLM)Test WER2.7—Unverified
9CTC/AttentionTest WER1.5—Unverified
10WhisperTest WER1.3—Unverified
#ModelMetricClaimedVerifiedStatus
1SpatialNetCER14.5—Unverified
2CleanMel-L-maskCER14.4—Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerTest WER15.32—Unverified
2Whisper-largev3-finetunedTest WER10.82—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)1.89—Unverified
#ModelMetricClaimedVerifiedStatus
1DistillAVWER1.4—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)4.28—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)8.04—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)3.36—Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer Transducer (German)WER (%)8.98—Unverified