SOTAVerified

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

Showing 15761600 of 3012 papers

TitleStatusHype
An Investigation of Hybrid architectures for Low Resource Multilingual Speech Recognition system in Indian context0
An investigation of modularity for noise robustness in conformer-based ASR0
An Investigation of Monotonic Transducers for Large-Scale Automatic Speech Recognition0
An Investigation on Applying Acoustic Feature Conversion to ASR of Adult and Child Speech0
An Investigative Study of Multi-Modal Cross-Lingual Retrieval0
Annotated Speech Corpus for Low Resource Indian Languages: Awadhi, Bhojpuri, Braj and Magahi0
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition0
A non-expert Kaldi recipe for Vietnamese Speech Recognition System0
An Online Attention-based Model for Speech Recognition0
A Novel End-to-End CAPT System for L2 Children Learners0
A Novel Self-training Approach for Low-resource Speech Recognition0
Anti-spoofing Methods for Automatic SpeakerVerification System0
An Ultra-low Power RNN Classifier for Always-On Voice Wake-Up Detection Robust to Real-World Scenarios0
An Unsupervised Speaker Clustering Technique based on SOM and I-vectors for Speech Recognition Systems0
``Oh, I've Heard That Before'': Modelling Own-Dialect Bias After Perceptual Learning by Weighting Training Data0
A Parallel Recurrent Neural Network for Language Modeling with POS Tags0
A Parameterized and Annotated Spoken Dialog Corpus of the CMU Let's Go Bus Information System0
Aphasic Speech Recognition using a Mixture of Speech Intelligibility Experts0
Applying LLMs for Rescoring N-best ASR Hypotheses of Casual Conversations: Effects of Domain Adaptation and Context Carry-over0
ApproBiVT: Lead ASR Models to Generalize Better Using Approximated Bias-Variance Tradeoff Guided Early Stopping and Checkpoint Averaging0
A practical framework for multi-domain speech recognition and an instance sampling method to neural language modeling0
A practical two-stage training strategy for multi-stream end-to-end speech recognition0
A Preliminary Study on Automated Speaking Assessment of English as a Second Language (ESL) Students0
A privacy-preserving method using secret key for convolutional neural network-based speech classification0
A Probabilistic Framework for Representing Dialog Systems and Entropy-Based Dialog Management through Dynamic Stochastic State Evolution0
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Benchmark Results

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