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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 2801–2850 of 3012 papers

TitleStatusHype
Automatic recognition of child speech for robotic applications in noisy environments—0
Automatic recognition of element classes and boundaries in the birdsong with variable sequences—0
Automatic recognition of suprasegmentals in speech—0
Automatic Screening for Children with Speech Disorder using Automatic Speech Recognition: Opportunities and Challenges—0
Automatic Speech Recognition and Topic Identification for Almost-Zero-Resource Languages—0
Automatic Speech Recognition: A Shifted Role in Early Speech Intervention?—0
Automatic Speech Recognition (ASR) for the Diagnosis of pronunciation of Speech Sound Disorders in Korean children—0
Automatic Speech Recognition Biases in Newcastle English: an Error Analysis—0
Automatic Speech Recognition Datasets in Cantonese: A Survey and New Dataset—0
Automatic Speech Recognition Errors as a Predictor of L2 Listening Difficulties—0
Automatic Speech Recognition for African Low-Resource Languages: Challenges and Future Directions—0
Automatic Speech Recognition for Biomedical Data in Bengali Language—0
Automatic Speech Recognition for Hindi—0
Automatic Speech Recognition for Humanitarian Applications in Somali—0
Automatic Speech Recognition for Irish: the ABAIR-ÉIST System—0
Automatic speech recognition for launch control center communication using recurrent neural networks with data augmentation and custom language model—0
Automatic Speech Recognition for Non-Native English: Accuracy and Disfluency Handling—0
Automatic Speech Recognition for the Ika Language—0
Automatic Speech Recognition for Uyghur through Multilingual Acoustic Modeling—0
Automatic Speech Recognition in German: A Detailed Error Analysis—0
Automatic speech recognition in the diagnosis of primary progressive aphasia—0
Automatic Speech Recognition of African American English: Lexical and Contextual Effects—0
Automatic Speech Recognition of Low-Resource Languages Based on Chukchi—0
Automatic Speech Recognition on a Firefighter TETRA Broadcast Channel—0
Automatic Speech Recognition System-Independent Word Error Rate Estimation—0
Automatic Speech Recognition using Advanced Deep Learning Approaches: A survey—0
Automatic Speech Recognition And Limited Vocabulary: A Survey—0
類神經網路訓練結合環境群集及專家混合系統於強健性語音辨識(Automatic Speech Recognition using Neural Network based Acoustic Model with the Environment Clustering and Mixture of Experts Algorithms) [In Chinese]—0
Automatic Speech Recognition Using Template Model for Man-Machine Interface—0
Automatic Speech Recognition with BERT and CTC Transformers: A Review—0
Automatic Speech Recognition with Very Large Conversational Finnish and Estonian Vocabularies—0
Automatic Spoken Language Identification using a Time-Delay Neural Network—0
Automatic Syllabification for Manipuri language—0
Automatic Transcription Challenges for Inuktitut, a Low-Resource Polysynthetic Language—0
Automatic Viseme Vocabulary Construction to Enhance Continuous Lip-reading—0
Automating speech reception threshold measurements using automatic speech recognition—0
Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition—0
Auxiliary Multimodal LSTM for Audio-visual Speech Recognition and Lipreading—0
AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning—0
AV-CPL: Continuous Pseudo-Labeling for Audio-Visual Speech Recognition—0
A Vietnamese Dialog Act Corpus Based on ISO 24617-2 standard—0
A Virtual Simulation-Pilot Agent for Training of Air Traffic Controllers—0
Babler - Data Collection from the Web to Support Speech Recognition and Keyword Search—0
Back-Translation-Style Data Augmentation for End-to-End ASR—0
BanglaNum -- A Public Dataset for Bengali Digit Recognition from Speech—0
Bangla-Wave: Improving Bangla Automatic Speech Recognition Utilizing N-gram Language Models—0
BART based semantic correction for Mandarin automatic speech recognition system—0
BA-SOT: Boundary-Aware Serialized Output Training for Multi-Talker ASR—0
BAT: Boundary aware transducer for memory-efficient and low-latency ASR—0
Bayesian Language Model based on Mixture of Segmental Contexts for Spontaneous Utterances with Unexpected Words—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