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Automatic Speech Recognition

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TitleStatusHype
Developing ASR for Indonesian-English Bilingual Language Teaching—0
Evaluating Automatic Speech Recognition Quality and Its Impact on Counselor Utterance Coding—0
End-to-end ASR to jointly predict transcriptions and linguistic annotations—0
A Neural Acoustic Echo Canceller Optimized Using An Automatic Speech Recognizer And Large Scale Synthetic Data—0
Towards One Model to Rule All: Multilingual Strategy for Dialectal Code-Switching Arabic ASR—0
Training Speech Enhancement Systems with Noisy Speech Datasets—0
Mondegreen: A Post-Processing Solution to Speech Recognition Error Correction for Voice Search Queries—0
LiSTra, Automatic Speech Translation: English to Lingala case study—0
Streaming Transformer for Hardware Efficient Voice Trigger Detection and False Trigger Mitigation—0
Listen with Intent: Improving Speech Recognition with Audio-to-Intent Front-End—0
Exploring CTC Based End-to-End Techniques for Myanmar Speech Recognition—0
StutterNet: Stuttering Detection Using Time Delay Neural Network—0
Stacked Acoustic-and-Textual Encoding: Integrating the Pre-trained Models into Speech Translation Encoders—0
Investigating the Reordering Capability in CTC-based Non-Autoregressive End-to-End Speech TranslationCode1
Speech2Slot: An End-to-End Knowledge-based Slot Filling from Speech—0
English Accent Accuracy Analysis in a State-of-the-Art Automatic Speech Recognition System—0
FastCorrect: Fast Error Correction with Edit Alignment for Automatic Speech Recognition—0
Robustness of end-to-end Automatic Speech Recognition Models -- A Case Study using Mozilla DeepSpeech—0
Latency-Controlled Neural Architecture Search for Streaming Speech Recognition—0
Accent Recognition with Hybrid Phonetic Features—0
Spectral modification for recognition of children’s speech undermismatched conditions—0
End-to-End Speech Recognition from Federated Acoustic ModelsCode1
Personalized Keyphrase Detection using Speaker and Environment Information—0
Semantic Data Augmentation for End-to-End Mandarin Speech Recognition—0
Head-synchronous Decoding for Transformer-based Streaming ASR—0
Multi-Task Learning for End-to-End ASR Word and Utterance Confidence with Deletion Prediction—0
Bridging the gap between streaming and non-streaming ASR systems bydistilling ensembles of CTC and RNN-T models—0
Quantization of Deep Neural Networks for Accurate Edge Computing—0
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from SpeechCode1
Accented Speech Recognition: A Survey—0
On Sampling-Based Training Criteria for Neural Language Modeling—0
Scene-aware Far-field Automatic Speech Recognition—0
Discriminative Self-training for Punctuation Prediction—0
Label-Synchronous Speech-to-Text Alignment for ASR Using Forward and Backward Transformers—0
Pre-training for Spoken Language Understanding with Joint Textual and Phonetic Representation Learning—0
Disfluency Detection with Unlabeled Data and Small BERT Models—0
On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era—0
Advanced Long-context End-to-end Speech Recognition Using Context-expanded Transformers—0
Acoustic Data-Driven Subword Modeling for End-to-End Speech Recognition—0
Best Practices for Noise-Based Augmentation to Improve the Performance of Deployable Speech-Based Emotion Recognition Systems—0
MIMO Self-attentive RNN Beamformer for Multi-speaker Speech Separation—0
A Method to Reveal Speaker Identity in Distributed ASR Training, and How to Counter ItCode0
Conditional independence for pretext task selection in Self-supervised speech representation learningCode0
Cross-domain Speech Recognition with Unsupervised Character-level Distribution MatchingCode0
Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept—0
Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation—0
Bridging the Gap Between Clean Data Training and Real-World Inference for Spoken Language Understanding—0
Comparing the Benefit of Synthetic Training Data for Various Automatic Speech Recognition Architectures—0
Improved Conformer-based End-to-End Speech Recognition Using Neural Architecture Search—0
A Toolbox for Construction and Analysis of Speech DatasetsCode1
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