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Automatic Speech Recognition

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Showing 726–750 of 3174 papers

TitleStatusHype
Reexamining Racial Disparities in Automatic Speech Recognition Performance: The Role of Confounding by Provenance—0
Handling Numeric Expressions in Automatic Speech Recognition—0
Robust ASR Error Correction with Conservative Data Filtering—0
A light-weight and efficient punctuation and word casing prediction model for on-device streaming ASR—0
Low-Resourced Speech Recognition for Iu Mien Language via Weakly-Supervised Phoneme-based Multilingual Pre-training—0
Morphosyntactic Analysis for CHILDES—0
Beyond Binary: Multiclass Paraphasia Detection with Generative Pretrained Transformers and End-to-End Models—0
The VoicePrivacy 2022 Challenge: Progress and Perspectives in Voice Anonymisation—0
Leave No Knowledge Behind During Knowledge Distillation: Towards Practical and Effective Knowledge Distillation for Code-Switching ASR Using Realistic Data—0
Textless Dependency Parsing by Labeled Sequence PredictionCode0
Improving Neural Biasing for Contextual Speech Recognition by Early Context Injection and Text Perturbation—0
Text-Based Detection of On-Hold Scripts in Contact Center CallsCode0
HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing—0
Analyzing Speech Unit Selection for Textless Speech-to-Speech Translation—0
Homogeneous Speaker Features for On-the-Fly Dysarthric and Elderly Speaker Adaptation—0
Seed-ASR: Understanding Diverse Speech and Contexts with LLM-based Speech Recognition—0
Written Term Detection Improves Spoken Term DetectionCode0
LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech—0
Performance Analysis of Speech Encoders for Low-Resource SLU and ASR in Tunisian Dialect—0
XLSR-Transducer: Streaming ASR for Self-Supervised Pretrained Models—0
Speculative Speech Recognition by Audio-Prefixed Low-Rank Adaptation of Language Models—0
Semi-supervised Learning for Code-Switching ASR with Large Language Model Filter—0
Romanization Encoding For Multilingual ASR—0
Multi-Convformer: Extending Conformer with Multiple Convolution Kernels—0
Improving Accented Speech Recognition using Data Augmentation based on Unsupervised Text-to-Speech Synthesis—0
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