28 citations · 109 across the 36 of their papers we have counts for
7 papers · 1 filter
Towards Structured Deep Neural Network for Automatic Speech Recognition
Yi-Hsiu Liao, Hung-yi Lee, Lin-shan Lee
In this paper we propose the Structured Deep Neural Network (structured DNN) as a structured and deep learning framework. This approach can learn to find the best structured object…
Enhancing Automatically Discovered Multi-level Acoustic Patterns Considering Context Consistency With Applications in Spoken Term Detection
Cheng-Tao Chung, Wei-Ning Hsu, Cheng-Yi Lee +1
This paper presents a novel approach for enhancing the multiple sets of acoustic patterns automatically discovered from a given corpus. In a previous work it was proposed that diff…
Unsupervised Spoken Term Detection with Spoken Queries by Multi-level Acoustic Patterns with Varying Model Granularity
Cheng-Tao Chung, Chun-an Chan, Lin-shan Lee
This paper presents a new approach for unsupervised Spoken Term Detection with spoken queries using multiple sets of acoustic patterns automatically discovered from the target corp…
Unsupervised Discovery of Linguistic Structure Including Two-level Acoustic Patterns Using Three Cascaded Stages of Iterative Optimization
Cheng-Tao Chung, Chun-an Chan, Lin-shan Lee
Techniques for unsupervised discovery of acoustic patterns are getting increasingly attractive, because huge quantities of speech data are becoming available but manual annotations…
A Multi-layered Acoustic Tokenizing Deep Neural Network (MAT-DNN) for Unsupervised Discovery of Linguistic Units and Generation of High Quality Features
Cheng-Tao Chung, Cheng-Yu Tsai, Hsiang-Hung Lu +5
This paper summarizes the work done by the authors for the Zero Resource Speech Challenge organized in the technical program of Interspeech 2015. The goal of the challenge is to di…
Towards Structured Deep Neural Network for Automatic Speech Recognition
Yi-Hsiu Liao, Hung-Yi Lee, Lin-shan Lee
In this paper we propose the Structured Deep Neural Network (Structured DNN) as a structured and deep learning algorithm, learning to find the best structured object (such as a lab…
Personalizing Universal Recurrent Neural Network Language Model with User Characteristic Features by Social Network Crowdsouring
Bo-Hsiang Tseng, Hung-Yi Lee, Lin-Shan Lee
With the popularity of mobile devices, personalized speech recognizer becomes more realizable today and highly attractive. Each mobile device is primarily used by a single user, so…