Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding

Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding

12 August 2023

Minsik Cho

Papers citing "Flexible Keyword Spotting based on Homogeneous Audio-Text Embedding"

7 / 7 papers shown

Title
Phoneme-Level Contrastive Learning for User-Defined Keyword Spotting with Flexible Enrollment Li Kewei Zhou Hengshun Shen Kai Dai Yusheng Du Jun 39 1 0 31 Dec 2024
SLiCK: Exploiting Subsequences for Length-Constrained Keyword Spotting K. Nishu Minsik Cho Devang Naik 13 0 0 06 Sep 2024
MaLa-ASR: Multimedia-Assisted LLM-Based ASR Guanrou Yang Ziyang Ma Fan Yu Zhifu Gao Shiliang Zhang Xie Chen AuLLM 41 2 0 09 Jun 2024
The taste of IPA: Towards open-vocabulary keyword spotting and forced alignment in any language Jian Zhu Changbing Yang Farhan Samir Jahurul Islam 32 4 0 14 Nov 2023
Metric Learning for User-defined Keyword Spotting Jaemin Jung You-kyong. Kim Jihwan Park Youshin Lim Byeong-Yeol Kim Youngjoon Jang Joon Son Chung 40 9 0 01 Nov 2022
Learning Audio-Text Agreement for Open-vocabulary Keyword Spotting Hyeon-Kyeong Shin Hyewon Han Doyeon Kim Soo-Whan Chung Hong-Goo Kang 27 33 0 30 Jun 2022
Learning Efficient Representations for Keyword Spotting with Triplet Loss R. Vygon N. Mikhaylovskiy DML SSL 60 64 0 12 Jan 2021