Hao Huang

Monolingual Data Selection Analysis for English-Mandarin Hybrid Code-switching Speech Recognition

2020 · arXiv (Cornell University)

In this paper, we conduct data selection analysis in building an English-Mandarin code-switching (CS) speech recognition (CSSR) system, which is aimed for a real CSSR contest in China. The overall training sets have three subsets, …

Using Deep Time Delay Neural Network for Slot Filling in Spoken Language Understanding

2020 · Symmetry

Modeling the context of a target word is of fundamental importance in predicting the semantic label for slot filling task in Spoken Language Understanding (SLU). Although Recurrent Neural Network (RNN) has shown to successfully achieve …

The NTU-AISG Text-to-speech System for Blizzard Challenge 2020

2020 · arXiv (Cornell University)

We report our NTU-AISG Text-to-speech (TTS) entry systems for the Blizzard Challenge 2020 in this paper. There are two TTS tasks in this year's challenge, one is a Mandarin TTS task, the other is a …

Pronunciation-Lexicon Free Training for Phoneme-based Crosslingual ASR via Joint Stochastic Approximation

2025 · arXiv (Cornell University)

Recently, pre-trained models with phonetic supervision have demonstrated their advantages for crosslingual speech recognition in data efficiency and information sharing across languages. However, a limitation is that a pronunciation lexicon is needed for such phoneme-based …