Exploring the Effectiveness of Feature Reduction and Kernel-Based Matching for Query-by- Example Spoken Term Detection Using CNN

Exploring the Effectiveness of Feature Reduction and Kernel-Based Matching for Query-by- Example Spoken Term Detection Using CNN

Query-by-example spoken term detection (QbE-STD) refers to the search for an audio query in a repository of audio utterances. A common approach for QbE-STD involves computing a matching matrix between the feature representations of the query and the reference utterance and deciding the relevance of...

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Bibliographic Details
Main Authors: Manisha Naik Gaonkar, Veena Thenkanidiyoor, Dileep Aroor Dinesh, H. Muralikrishna
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Convolutional neural network (CNN)
feature reduction
keyword spotting (KWS)
query by example spoken term detection (QbE-STD)
spoken term detection (STD)
Online Access:https://ieeexplore.ieee.org/document/10810387/
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https://ieeexplore.ieee.org/document/10810387/

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