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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 401–425 of 3012 papers

TitleStatusHype
Audio-conditioned phonemic and prosodic annotation for building text-to-speech models from unlabeled speech data—0
Audio De-identification: A New Entity Recognition Task—0
Audio De-identification - a New Entity Recognition Task—0
Audio Enhancement for Computer Audition -- An Iterative Training Paradigm Using Sample Importance—0
A Meeting Transcription System for an Ad-Hoc Acoustic Sensor Network—0
A two-step approach to leverage contextual data: speech recognition in air-traffic communications—0
All-neural beamformer for continuous speech separation—0
Audio-visual Multi-channel Recognition of Overlapped Speech—0
Audio-visual multi-channel speech separation, dereverberation and recognition—0
Audio-visual Recognition of Overlapped speech for the LRS2 dataset—0
A two-stage transliteration approach to improve performance of a multilingual ASR—0
Amharic-English Speech Translation in Tourism Domain—0
Audio-Visual Speech Enhancement and Separation by Utilizing Multi-Modal Self-Supervised Embeddings—0
Audio-Visual Speech Recognition is Worth 32328 Voxels—0
A Likelihood Ratio based Domain Adaptation Method for E2E Models—0
Audio-Visual Speech Recognition With A Hybrid CTC/Attention Architecture—0
Auditory-Based Data Augmentation for End-to-End Automatic Speech Recognition—0
Augmenting Automatic Speech Recognition Models with Disfluency Detection—0
Augmenting Bottleneck Features of Deep Neural Network Employing Motor State for Speech Recognition at Humanoid Robots—0
Augmenting Images for ASR and TTS through Single-loop and Dual-loop Multimodal Chain Framework—0
A Multi-Dialectal Dataset for German Dialect ASR and Dialect-to-Standard Speech Translation—0
A Unified Cascaded Encoder ASR Model for Dynamic Model Sizes—0
A Unified Neural Architecture for Joint Dialog Act Segmentation and Recognition in Spoken Dialog System—0
A Multimodal Approach to Device-Directed Speech Detection with Large Language Models—0
A Curriculum Learning Method for Improved Noise Robustness in Automatic Speech Recognition—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