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Automatic Speech Recognition

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Showing 1151–1200 of 3174 papers

TitleStatusHype
Blind and neural network-guided convolutional beamformer for joint denoising, dereverberation, and source separation—0
Entity Linking for Spoken Language—0
Entity resolution for noisy ASR transcripts—0
Environment-aware Reconfigurable Noise Suppression—0
E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks—0
Equivalence of Segmental and Neural Transducer Modeling: A Proof of Concept—0
Enhancing Audiovisual Speech Recognition through Bifocal Preference Optimization—0
Error Correction by Paying Attention to Both Acoustic and Confidence References for Automatic Speech Recognition—0
Error Correction in ASR using Sequence-to-Sequence Models—0
Error Detection in Automatic Speech Recognition—0
Breaking the Transcription Bottleneck: Fine-tuning ASR Models for Extremely Low-Resource Fieldwork Languages—0
Enhancing ASR for Stuttered Speech with Limited Data Using Detect and Pass—0
Blending LSTMs into CNNs—0
ESPnet-se: end-to-end speech enhancement and separation toolkit designed for asr integration—0
ESPnet-SE++: Speech Enhancement for Robust Speech Recognition, Translation, and Understanding—0
ESPnet-ST: All-in-One Speech Translation Toolkit—0
Breaking Walls: Pioneering Automatic Speech Recognition for Central Kurdish: End-to-End Transformer Paradigm—0
A Noise-Robust Self-supervised Pre-training Model Based Speech Representation Learning for Automatic Speech Recognition—0
Estimating Phoneme Class Conditional Probabilities from Raw Speech Signal using Convolutional Neural Networks—0
Etude de la performance des modèles acoustiques pour des voix de personnes âgées en vue de l'adaptation des systèmes de RAP (Assessment of the acoustic models performance in the ageing voice case for ASR system adaptation) [in French]—0
Advancing Arabic Speech Recognition Through Large-Scale Weakly Supervised Learning—0
EURO: ESPnet Unsupervised ASR Open-source Toolkit—0
Euronews: a multilingual speech corpus for ASR—0
Europarl-ST: A Multilingual Corpus For Speech Translation Of Parliamentary Debates—0
Evaluating and Improving Automatic Speech Recognition Systems for Korean Meteorological Experts—0
Evaluating and Improving Child-Directed Automatic Speech Recognition—0
Evaluating and reducing the distance between synthetic and real speech distributions—0
Evaluating ASR Confidence Scores for Automated Error Detection in User-Assisted Correction Interfaces—0
Evaluating Automatic Speech Recognition Systems in Comparison With Human Perception Results Using Distinctive Feature Measures—0
Evaluating Automatic Speech Recognition Quality and Its Impact on Counselor Utterance Coding—0
Evaluating Automatic Speech Recognition in Translation—0
Evaluating Automatic Speech Recognition in an Incremental Setting—0
Enhancing AAC Software for Dysarthric Speakers in e-Health Settings: An Evaluation Using TORGO—0
Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance—0
Evaluating User Perception of Speech Recognition System Quality with Semantic Distance Metric—0
Bring the Noise: Introducing Noise Robustness to Pretrained Automatic Speech Recognition—0
Enhancements in statistical spoken language translation by de-normalization of ASR results—0
Evaluation of Automated Speech Recognition Systems for Conversational Speech: A Linguistic Perspective—0
Evaluation of Automatic Speech Recognition for Conversational Speech in Dutch, English and German: What Goes Missing?—0
BS-PLCNet: Band-split Packet Loss Concealment Network with Multi-task Learning Framework and Multi-discriminators—0
Evaluation of Off-the-shelf Speech Recognizers Across Diverse Dialogue Domains—0
Evaluation of Off-the-shelf Speech Recognizers on Different Accents in a Dialogue Domain—0
Evaluation of real-time transcriptions using end-to-end ASR models—0
Evaluation of Speaker Anonymization on Emotional Speech—0
Everyone deserves their voice to be heard: Analyzing Predictive Gender Bias in ASR Models Applied to Dutch Speech Data—0
Everything Can Be Described in Words: A Simple Unified Multi-Modal Framework with Semantic and Temporal Alignment—0
Evolutionary optimization of contexts for phonetic correction in speech recognition systems—0
Blending LLMs into Cascaded Speech Translation: KIT's Offline Speech Translation System for IWSLT 2024—0
Enhancement and Recognition of Reverberant and Noisy Speech by Extending Its Coherence—0
Enhanced Robot Speech Recognition Using Biomimetic Binaural Sound Source Localization—0
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