16 citations · 18 across the 8 of their papers we have counts for
4 papers · 1 filter
Unsupervised Discovery of Structured Acoustic Tokens with Applications to Spoken Term Detection
Cheng-Tao Chung, Lin-Shan Lee
In this paper, we compare two paradigms for unsupervised discovery of structured acoustic tokens directly from speech corpora without any human annotation. The Multigranular Paradi…
Unsupervised Iterative Deep Learning of Speech Features and Acoustic Tokens with Applications to Spoken Term Detection
Cheng-Tao Chung, Cheng-Yu Tsai, Chia-Hsiang Liu +1
In this paper we aim to automatically discover high quality frame-level speech features and acoustic tokens directly from unlabeled speech data. A Multi-granular Acoustic Tokenizer…
Personalized Acoustic Modeling by Weakly Supervised Multi-Task Deep Learning using Acoustic Tokens Discovered from Unlabeled Data
Cheng-Kuan Wei, Cheng-Tao Chung, Hung-Yi Lee +1
It is well known that recognizers personalized to each user are much more effective than user-independent recognizers. With the popularity of smartphones today, although it is not…
Gate Activation Signal Analysis for Gated Recurrent Neural Networks and Its Correlation with Phoneme Boundaries
Yu-Hsuan Wang, Cheng-Tao Chung, Hung-yi Lee
In this paper we analyze the gate activation signals inside the gated recurrent neural networks, and find the temporal structure of such signals is highly correlated with the phone…