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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 751–800 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
A Corpus and Phonetic Dictionary for Tunisian Arabic Speech Recognition—0
Conversational Speech Recognition By Learning Conversation-level Characteristics—0
Conversational Speech Recognition by Learning Audio-textual Cross-modal Contextual Representation—0
Causal Structure Discovery for Error Diagnostics of Children's ASR—0
Conversational Speech Recognition Needs Data? Experiments with Austrian German—0
Causal Analysis of ASR Errors for Children: Quantifying the Impact of Physiological, Cognitive, and Extrinsic Factors—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
Artie Bias Corpus: An Open Dataset for Detecting Demographic Bias in Speech Applications—0
Articulatory Features for ASR of Pathological Speech—0
CASSANDRA: A multipurpose configurable voice-enabled human-computer-interface—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
Adversarial Training for Multilingual Acoustic Modeling—0
Correction Focused Language Model Training for Speech Recognition—0
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder—0
Correlated Bigram LSA for Unsupervised Language Model Adaptation—0
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement—0
COSMIC: Data Efficient Instruction-tuning For Speech In-Context Learning—0
CoSTA: Code-Switched Speech Translation using Aligned Speech-Text Interleaving—0
Alignment Knowledge Distillation for Online Streaming Attention-based Speech Recognition—0
Learning Speech Representation From Contrastive Token-Acoustic Pretraining—0
CPT-Boosted Wav2vec2.0: Towards Noise Robust Speech Recognition for Classroom Environments—0
CR-CTC: Consistency regularization on CTC for improved speech recognition—0
Creating Lithuanian and Latvian Speech Corpora from Inaccurately Annotated Web Data—0
Creating Spoken Dialog Systems in Ultra-Low Resourced Settings—0
Critical Appraisal of Artificial Intelligence-Mediated Communication—0
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech—0
Cross-attention conformer for context modeling in speech enhancement for ASR—0
Cross-domain Single-channel Speech Enhancement Model with Bi-projection Fusion Module for Noise-robust ASR—0
Attentive listening system with backchanneling, response generation and flexible turn-taking—0
Crossing the SSH Bridge with Interview Data—0
Cross-lingual Embedding Clustering for Hierarchical Softmax in Low-Resource Multilingual Speech Recognition—0
Cascade RNN-Transducer: Syllable Based Streaming On-device Mandarin Speech Recognition with a Syllable-to-Character Converter—0
Cross-lingual studies of ASR errors: paradigms for perceptual evaluations—0
Cross-modal Alignment with Optimal Transport for CTC-based ASR—0
Cross-Modal ASR Post-Processing System for Error Correction and Utterance Rejection—0
A review of on-device fully neural end-to-end automatic speech recognition algorithms—0
Cross-Modal Transformer-Based Neural Correction Models for Automatic Speech Recognition—0
Cross-utterance Reranking Models with BERT and Graph Convolutional Networks for Conversational Speech Recognition—0
Cross-Utterance Language Models with Acoustic Error Sampling—0
Cascaded Models With Cyclic Feedback For Direct Speech Translation—0
Cascaded encoders for unifying streaming and non-streaming ASR—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