Accurate and Practical Query-by-Example Using Multiple Deep Learning Models and Frame Compression Methods-Reference-Cited by-同舟云学术

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Accurate and Practical Query-by-Example Using Multiple Deep Learning Models and Frame Compression Methods

Published:2023-10-31 Issue: Volume: Page:
ISSN:
Container-title:2023 Asia Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
language:
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Author:

Yamaga Hikaru¹,Hatakeyama Kazuki²,Kojima Kazunori¹,Lee Shi-Wook³,Itoh Yoshiaki¹

Affiliation:

1. Iwate Prefectural University,Japan

2. Graduated From Iwate Prefectural University,Panasonic ITS Co. Ltd.,Japan

3. National Institute of Advanced Industrial Science and Technology,Japan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10317071/10317095/10317220.pdf?arnumber=10317220

Reference20 articles.

1. Overview of NTCIR-12 Spoken&Doc-2 Task;akiba;NTCIR-12 Workshop Meeting,2016

2. Overview of NTCIR-11 Spoken&Doc Task, NTCIR-11;akiba,2014

3. Constructing Acoustic Distances Between Subwords and States Obtained from a Deep Neural Network for Spoken Term Detection

4. Frequent word section extraction in a presentation speech by an effective dynamic programming algorithm

5. Hybrid CTC/Attention Architecture for End-to-End Speech Recognition

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