I See What You Hear: A Vision-Inspired Method to Localize Words

Author:

Samragh Mohammad1,Kundu Arnav1,Hu Ting-Yao1,Chadha Aman1,Srivastava Ashish1,Cho Minsik1,Tuzel Oncel1,Naik Devang1

Affiliation:

1. Apple

Publisher

IEEE

Reference21 articles.

1. Optimize What Matters: Training DNN-Hmm Keyword Spotting Model Using End Metric

2. Speech commands: A dataset for limited-vocabulary speech recognition;warden,2018

3. Montreal forced aligner: Trainable text-speech alignment using kaldi;mcauliffe,2017

4. Jointly Learning to Locate and Classify Words Using Convolutional Networks

5. Adam: A method for stochastic optimization;kingma,2014

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improving Vision-Inspired Keyword Spotting Using Dynamic Module Skipping in Streaming Conformer Encoder;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

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