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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 326–350 of 3012 papers

TitleStatusHype
An Approach to Improve Robustness of NLP Systems against ASR Errors—0
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition—0
An Application for Building a Polish Telephone Speech Corpus—0
An analysis of incorporating an external language model into a sequence-to-sequence model—0
Adaptive Activation Network For Low Resource Multilingual Speech Recognition—0
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation—0
An analysis of degenerating speech due to progressive dysarthria on ASR performance—0
Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions—0
Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom—0
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer—0
Analyzing the Performance of Automatic Speech Recognition for Ageing Voice: Does it Correlate with Dependency Level?—0
Adapting Whisper for Code-Switching through Encoding Refining and Language-Aware Decoding—0
A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition—0
使用字典學習法於強健性語音辨識(The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In Chinese]—0
A Comparative Study on Multichannel Speaker-Attributed Automatic Speech Recognition in Multi-party Meetings—0
Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition—0
使用字典學習法於強健性語音辨識 (The Use of Dictionary Learning Approach for Robustness Speech Recognition) [In Chinese]—0
Adapting self-supervised models to multi-talker speech recognition using speaker embeddings—0
ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation—0
ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment—0
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition—0
Adapting Multi-Lingual ASR Models for Handling Multiple Talkers—0
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks—0
Analyzing ASR pretraining for low-resource speech-to-text translation—0
Analysis of Self-Attention Head Diversity for Conformer-based 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