SOTAVerified

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

Showing 301350 of 3012 papers

TitleStatusHype
A Deep Generative Acoustic Model for Compositional Automatic Speech Recognition0
A comparison of end-to-end models for long-form speech recognition0
An Effective Training Framework for Light-Weight Automatic Speech Recognition Models0
An Effective, Performant Named Entity Recognition System for Noisy Business Telephone Conversation Transcripts0
Transformer-based Cascaded Multimodal Speech Translation0
An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder Disentanglement0
An Effective End-to-End Modeling Approach for Mispronunciation Detection0
A Transfer Learning Method for Speech Emotion Recognition from Automatic Speech Recognition0
Attacks as Defenses: Designing Robust Audio CAPTCHAs Using Attacks on Automatic Speech Recognition Systems0
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features0
An Effective Context-Balanced Adaptation Approach for Long-Tailed Speech Recognition0
A bandit approach to curriculum generation for automatic speech recognition0
An Effective Automated Speaking Assessment Approach to Mitigating Data Scarcity and Imbalanced Distribution0
Adaptive Sparse and Monotonic Attention for Transformer-based Automatic Speech Recognition0
Sentence-wise Speech Summarization: Task, Datasets, and End-to-End Modeling with LM Knowledge Distillation0
A Text-to-Speech Pipeline, Evaluation Methodology, and Initial Fine-Tuning Results for Child Speech Synthesis0
An Audio-enriched BERT-based Framework for Spoken Multiple-choice Question Answering0
An Attentional Model for Speech Translation Without Transcription0
Adaptive Multi-Corpora Language Model Training for Speech Recognition0
Anatomy of Industrial Scale Multilingual ASR0
An ASR-free Fluency Scoring Approach with Self-Supervised Learning0
Adaptive Frequency Cepstral Coefficients for Word Mispronunciation Detection0
A Comparative Study on Speaker-attributed Automatic Speech Recognition in Multi-party Meetings0
Attention-based ASR with Lightweight and Dynamic Convolutions0
An ASR-Based Tutor for Learning to Read: How to Optimize Feedback to First Graders0
An Approach to Improve Robustness of NLP Systems against ASR Errors0
Adaptive Axonal Delays in feedforward spiking neural networks for accurate spoken word recognition0
An Application for Building a Polish Telephone Speech Corpus0
An analysis of incorporating an external language model into a sequence-to-sequence model0
Adaptive Activation Network For Low Resource Multilingual Speech Recognition0
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation0
An analysis of degenerating speech due to progressive dysarthria on ASR performance0
Analyzing Utility of Visual Context in Multimodal Speech Recognition Under Noisy Conditions0
Adapting Whisper for Regional Dialects: Enhancing Public Services for Vulnerable Populations in the United Kingdom0
Analyzing the Quality and Stability of a Streaming End-to-End On-Device Speech Recognizer0
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 Decoding0
A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition0
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 Meetings0
Analyzing the factors affecting usefulness of Self-Supervised Pre-trained Representations for Speech Recognition0
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 embeddings0
ATC-ANNO: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation0
ATCSpeech: a multilingual pilot-controller speech corpus from real Air Traffic Control environment0
Analyzing Large Receptive Field Convolutional Networks for Distant Speech Recognition0
Adapting Multi-Lingual ASR Models for Handling Multiple Talkers0
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks0
Analyzing ASR pretraining for low-resource speech-to-text translation0
Analysis of Self-Attention Head Diversity for Conformer-based Automatic Speech Recognition0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1TM-CTCTest WER10.1Unverified
2TM-seq2seqTest WER9.7Unverified
3CTC/attentionTest WER8.2Unverified
4LF-MMI TDNNTest WER6.7Unverified
5Whisper-LLaMATest WER6.6Unverified
6End2end ConformerTest WER3.9Unverified
7End2end ConformerTest WER3.7Unverified
8MoCo + wav2vec (w/o extLM)Test WER2.7Unverified
9CTC/AttentionTest WER1.5Unverified
10WhisperTest WER1.3Unverified
#ModelMetricClaimedVerifiedStatus
1SpatialNetCER14.5Unverified
2CleanMel-L-maskCER14.4Unverified
#ModelMetricClaimedVerifiedStatus
1ConformerTest WER15.32Unverified
2Whisper-largev3-finetunedTest WER10.82Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)1.89Unverified
#ModelMetricClaimedVerifiedStatus
1DistillAVWER1.4Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)4.28Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)8.04Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer TransducerWER (%)3.36Unverified
#ModelMetricClaimedVerifiedStatus
1Conformer Transducer (German)WER (%)8.98Unverified