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Automatic Speech Recognition

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Showing 1251–1275 of 3174 papers

TitleStatusHype
TranUSR: Phoneme-to-word Transcoder Based Unified Speech Representation Learning for Cross-lingual Speech Recognition—0
Evaluating OpenAI's Whisper ASR for Punctuation Prediction and Topic Modeling of life histories of the Museum of the Person—0
On the Transferability of Whisper-based Representations for "In-the-Wild" Cross-Task Downstream Speech Applications—0
Debiased Automatic Speech Recognition for Dysarthric Speech via Sample Reweighting with Sample Affinity Test—0
Text Generation with Speech Synthesis for ASR Data Augmentation—0
GNCformer Enhanced Self-attention for Automatic Speech Recognition—0
On the Efficacy and Noise-Robustness of Jointly Learned Speech Emotion and Automatic Speech Recognition—0
CASA-ASR: Context-Aware Speaker-Attributed ASR—0
VAKTA-SETU: A Speech-to-Speech Machine Translation Service in Select Indic Languages—0
Hystoc: Obtaining word confidences for fusion of end-to-end ASR systems—0
Semantic VAD: Low-Latency Voice Activity Detection for Speech Interaction—0
Self-supervised representations in speech-based depression detection—0
Unsupervised ASR via Cross-Lingual Pseudo-Labeling—0
Blank-regularized CTC for Frame Skipping in Neural Transducer—0
BAT: Boundary aware transducer for memory-efficient and low-latency ASR—0
A Comparative Study on E-Branchformer vs Conformer in Speech Recognition, Translation, and Understanding Tasks—0
ML-SUPERB: Multilingual Speech Universal PERformance Benchmark—0
A Lexical-aware Non-autoregressive Transformer-based ASR Model—0
Adversarial Speaker Disentanglement Using Unannotated External Data for Self-supervised Representation Based Voice Conversion—0
Application-Agnostic Language Modeling for On-Device ASR—0
Critical Appraisal of Artificial Intelligence-Mediated Communication—0
OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking—0
Self-supervised Neural Factor Analysis for Disentangling Utterance-level Speech Representations—0
Investigating the Sensitivity of Automatic Speech Recognition Systems to Phonetic Variation in L2 Englishes—0
Continual Learning for End-to-End ASR by Averaging Domain Experts—0
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