A Survey on Data Selection for Efficient Speech Processing

A Survey on Data Selection for Efficient Speech Processing

While recent advances in speech processing have led to substantial performance improvements across diverse tasks, they often demand significantly higher computational costs and resources. To address this efficiency challenge, data selection has emerged as a crucial strategy. This survey provides a c...

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Bibliographic Details
Main Authors: Abdul Hameed Azeemi, Ihsan Ayyub Qazi, Agha Ali Raza
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Speech processing
survey
data selection
data pruning
active learning
computational efficiency
Online Access:https://ieeexplore.ieee.org/document/11048490/
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