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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
Handling Numeric Expressions in Automatic Speech Recognition—0
Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation—0
Self-Supervised Learning for Multi-Channel Neural Transducer—0
ASR-enhanced Multimodal Representation Learning for Cross-Domain Product Retrieval—0
MultiMed: Multilingual Medical Speech Recognition via Attention Encoder Decoder—0
Survey of End-to-End Multi-Speaker Automatic Speech Recognition for Monaural Audio—0
LegoSLM: Connecting LLM with Speech Encoder using CTC Posteriors—0
2-bit Conformer quantization for automatic speech recognition—0
3-D Feature and Acoustic Modeling for Far-Field Speech Recognition—0
4-bit Quantization of LSTM-based Speech Recognition Models—0
4D ASR: Joint modeling of CTC, Attention, Transducer, and Mask-Predict decoders—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
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 bandit approach to curriculum generation for automatic speech recognition—0
A baseline model for computationally inexpensive speech recognition for Kazakh using the Coqui STT framework—0
A Bayesian Network View on Acoustic Model-Based Techniques for Robust Speech Recognition—0
A Benchmark of French ASR Systems Based on Error Severity—0
A Bilingual Interactive Human Avatar Dialogue System—0
A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions—0
Accelerating Transducers through Adjacent Token Merging—0
AccentDB: A Database of Non-Native English Accents to Assist Neural Speech Recognition—0
Accented Speech Recognition: A Survey—0
Accented Speech Recognition Inspired by Human Perception—0
AccentFold: A Journey through African Accents for Zero-Shot ASR Adaptation to Target Accents—0
Accent Recognition with Hybrid Phonetic Features—0
Accent-Robust Automatic Speech Recognition Using Supervised and Unsupervised Wav2vec Embeddings—0
Accurate and Structured Pruning for Efficient Automatic Speech Recognition—0
Accurate synthesis of Dysarthric Speech for ASR data augmentation—0
A CLARIN Transcription Portal for Interview Data—0
A Closer Look at Audio-Visual Multi-Person Speech Recognition and Active Speaker Selection—0
AC-Mix: Self-Supervised Adaptation for Low-Resource Automatic Speech Recognition using Agnostic Contrastive Mixup—0
A Code-Switching Corpus of Turkish-German Conversations—0
A Comparative Analysis of Crowdsourced Natural Language Corpora for Spoken Dialog Systems—0
A Comparative Study of LLM-based ASR and Whisper in Low Resource and Code Switching Scenario—0
A Comparative Study of Modular and Joint Approaches for Speaker-Attributed ASR on Monaural Long-Form Audio—0
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks—0
A Comparative Study on Multichannel Speaker-Attributed Automatic Speech Recognition in Multi-party Meetings—0
A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition—0
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation—0
A Comparative Study on Speaker-attributed Automatic Speech Recognition in Multi-party Meetings—0
A comparison of end-to-end models for long-form speech recognition—0
A Comparison of Label-Synchronous and Frame-Synchronous End-to-End Models for Speech Recognition—0
A Comparison of Modeling Units in Sequence-to-Sequence Speech Recognition with the Transformer on Mandarin Chinese—0
A Comparison of Speech Data Augmentation Methods Using S3PRL Toolkit—0
A Complementary Joint Training Approach Using Unpaired Speech and Text for Low-Resource Automatic Speech Recognition—0
A Comprehensive Study of Deep Bidirectional LSTM RNNs for Acoustic Modeling in Speech Recognition—0
A Comprehensive Study of the Current State-of-the-Art in Nepali Automatic Speech Recognition Systems—0
A Configurable Multilingual Model is All You Need to Recognize All Languages—0
A Conformer Based Acoustic Model for Robust Automatic Speech Recognition—0
A Conformer-based ASR Frontend for Joint Acoustic Echo Cancellation, Speech Enhancement and Speech Separation—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