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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 551–575 of 3012 papers

TitleStatusHype
A study on the impact of Self-Supervised Learning on automatic dysarthric speech assessment—0
A Study on the Integration of Pre-trained SSL, ASR, LM and SLU Models for Spoken Language Understanding—0
A Study on the Integration of Pipeline and E2E SLU systems for Spoken Semantic Parsing toward STOP Quality Challenge—0
A study on native American English speech recognition by Indian listeners with varying word familiarity level—0
Acoustics-guided evaluation (AGE): a new measure for estimating performance of speech enhancement algorithms for robust ASR—0
A Study on Lip Localization Techniques used for Lip reading from a Video—0
A Study of Non-autoregressive Model for Sequence Generation—0
Bonseyes AI Pipeline -- bringing AI to you. End-to-end integration of data, algorithms and deployment tools—0
A Study of Gender Impact in Self-supervised Models for Speech-to-Text Systems—0
Ain't Misbehavin' -- Using LLMs to Generate Expressive Robot Behavior in Conversations with the Tabletop Robot Haru—0
Acoustics Based Intent Recognition Using Discovered Phonetic Units for Low Resource Languages—0
Accurate and Structured Pruning for Efficient Automatic Speech Recognition—0
A Study of All-Convolutional Encoders for Connectionist Temporal Classification—0
A Study into Pre-training Strategies for Spoken Language Understanding on Dysarthric Speech—0
Acoustic-Phonetic Approach for ASR of Less Resourced Languages Using Monolingual and Cross-Lingual Information—0
ASTRA: Aligning Speech and Text Representations for Asr without Sampling—0
ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers—0
Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings—0
A Highly Efficient Distributed Deep Learning System For Automatic Speech Recognition—0
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors—0
Acoustic Model Optimization over Multiple Data Sources: Merging and Valuation—0
Assessing the Performance of Automatic Speech Recognition Systems When Used by Native and Non-Native Speakers of Three Major Languages in Dictation Workflows—0
Assessing ASR Model Quality on Disordered Speech using BERTScore—0
A higher order Minkowski loss for improved prediction ability of acoustic model in ASR—0
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors—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