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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 526–550 of 3012 papers

TitleStatusHype
Calibrate and Refine! A Novel and Agile Framework for ASR-error Robust Intent Detection—0
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems—0
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition—0
Aligning Speech to Languages to Enhance Code-switching Speech Recognition—0
Aligning Pre-trained Models for Spoken Language Translation—0
2-bit Conformer quantization for automatic speech recognition—0
A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis—0
A Text Normalisation System for Non-Standard English Words—0
A Light-weight contextual spelling correction model for customizing transducer-based speech recognition systems—0
ATCSpeechNet: A multilingual end-to-end speech recognition framework for air traffic control systems—0
ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment—0
A light-weight and efficient punctuation and word casing prediction model for on-device streaming ASR—0
Acoustic Word Disambiguation with Phonogical Features in Danish ASR—0
Towards interfacing large language models with ASR systems using confidence measures and prompting—0
ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation—0
Algorithms For Automatic Accentuation And Transcription Of Russian Texts In Speech Recognition Systems—0
Asynchronous Decentralized Distributed Training of Acoustic Models—0
A Lexical-aware Non-autoregressive Transformer-based ASR Model—0
Acoustic-to-articulatory Speech Inversion with Multi-task Learning—0
A Survey on Speech Large Language Models—0
A Language Agnostic Multilingual Streaming On-Device ASR System—0
A Survey of Multilingual Models for Automatic Speech Recognition—0
A Subband-Based SVM Front-End for Robust ASR—0
A Joint Model of Orthography and Morphological Segmentation—0
Acoustic to Articulatory Inversion of Speech; Data Driven Approaches, Challenges, Applications, and Future Scope—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