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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 2451–2500 of 3012 papers

TitleStatusHype
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems—0
A Speech Test Set of Practice Business Presentations with Additional Relevant Texts—0
Personalizing ASR for Dysarthric and Accented Speech with Limited DataCode0
DuTongChuan: Context-aware Translation Model for Simultaneous Interpreting—0
MaSS: A Large and Clean Multilingual Corpus of Sentence-aligned Spoken Utterances Extracted from the BibleCode0
Correlation Distance Skip Connection Denoising Autoencoder (CDSK-DAE) for Speech Feature Enhancement—0
Investigating Target Set Reduction for End-to-End Speech Recognition of Hindi-English Code-Switching Data—0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—0
Large-Scale Mixed-Bandwidth Deep Neural Network Acoustic Modeling for Automatic Speech Recognition—0
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition—0
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition—0
Teach an all-rounder with experts in different domains—0
Joint Speech Recognition and Speaker Diarization via Sequence Transduction—0
Analyzing Phonetic and Graphemic Representations in End-to-End Automatic Speech RecognitionCode0
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning—0
Improved low-resource Somali speech recognition by semi-supervised acoustic and language model training—0
End-to-End Speech Recognition with High-Frame-Rate Features Extraction—0
Kite: Automatic speech recognition for unmanned aerial vehicles—0
Scalable Multi Corpora Neural Language Models for ASR—0
Latent Dirichlet Allocation Based Acoustic Data Selection for Automatic Speech Recognition—0
Automated Cross-language Intelligibility Analysis of Parkinson's Disease Patients Using Speech Recognition Technologies—0
Comparison of Lattice-Free and Lattice-Based Sequence Discriminative Training Criteria for LVCSR—0
Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions—0
Auxiliary Interference Speaker Loss for Target-Speaker Speech Recognition—0
One Size Does Not Fit All: Quantifying and Exposing the Accuracy-Latency Trade-off in Machine Learning Cloud Service APIs via Tolerance Tiers—0
Phoneme-Based Contextualization for Cross-Lingual Speech Recognition in End-to-End Models—0
Multi-Span Acoustic Modelling using Raw Waveform Signals—0
Code-Switching Detection Using ASR-Generated Language Posteriors—0
Multi-Graph Decoding for Code-Switching ASR—0
Adversarial Training for Multilingual Acoustic Modeling—0
Advancing Speech Recognition With No Speech Or With Noisy Speech—0
Multi-Stream End-to-End Speech Recognition—0
Real to H-space Encoder for Speech Recognition—0
Cumulative Adaptation for BLSTM Acoustic Models—0
Lattice Transformer for Speech Translation—0
Learning Video Representations using Contrastive Bidirectional Transformer—0
Listening while Speaking and Visualizing: Improving ASR through Multimodal Chain—0
Audio De-identification - a New Entity Recognition Task—0
SpatialNet: A Declarative Resource for Spatial Relations—0
Overcoming the bottleneck in traditional assessments of verbal memory: Modeling human ratings and classifying clinical group membership—0
MuST-C: a Multilingual Speech Translation Corpus—0
A user study to compare two conversational assistants designed for people with hearing impairments—0
Building and Evaluation of a Real Room Impulse Response Dataset—0
Regularization Advantages of Multilingual Neural Language Models for Low Resource Domains—0
Guided Source Separation Meets a Strong ASR Backend: Hitachi/Paderborn University Joint Investigation for Dinner Party ASRCode0
Effective Sentence Scoring Method using Bidirectional Language Model for Speech Recognition—0
Articulatory and bottleneck features for speaker-independent ASR of dysarthric speech—0
Speaker-Independent Speech-Driven Visual Speech Synthesis using Domain-Adapted Acoustic Models—0
Almost Unsupervised Text to Speech and Automatic Speech Recognition—0
Time-Contrastive Learning Based Deep Bottleneck Features for Text-Dependent Speaker Verification—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