Also published as: Hai Quan Vu
A non-expert Kaldi recipe for Vietnamese Speech Recognition System
Hieu-Thi Luong | Hai-Quan Vu
Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies (WLSI/OIAF4HLT2016)
In this paper we describe a non-expert setup for Vietnamese speech recognition system using Kaldi toolkit. We collected a speech corpus over fifteen hours from about fifty Vietnamese native speakers and using it to test the feasibility of our setup. The essential linguistic components for the Automatic Speech Recognition (ASR) system was prepared basing on the written form of the language instead of expertise knowledge on linguistic and phonology as commonly seen in rich resource languages like English. The modeling of tones by integrating them into the phoneme and using the phonetic decision tree is also discussed. Experimental results showed this setup for ASR systems does yield competitive results while still have potentials for further improvements.
Towards a Multi-Objective Corpus for Vietnamese Language
Hai Quan Vu | Nam Trung Pham | Duc Hoang Ha Nguyen | Bao Toan Huynh | Hoai Bac Le | Kiem Hoang
Proceedings of the 17th Pacific Asia Conference on Language, Information and Computation
- Hieu-Thi Luong 1
- Nam Trung Pham 1
- Duc Hoang Ha Nguyen 1
- Bao Toan Huynh 1
- Hoai Bac Le 1
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