Affiliation:
1. Xinjiang Laboratory of Multi-Language Information Technology, Xinjiang Multilingual Information Technology Research Center, College of Information Science and Engineering, Xinjiang University, Urumqi 830046, China
Abstract
With the development of continuous speech recognition technology, users have put forward higher requirements in terms of speech recognition accuracy. Low-resource speech recognition, as a typical speech recognition technology under restricted conditions, has become a research hotspot nowadays because of its low recognition rate and great application value. Under the premise of low-resource speech recognition technology, this paper reviews the research status of feature extraction and acoustic models, and conducts research on resource expansion. Especially in terms of the technical challenges faced by this technology, solutions are proposed, and future research directions are prospected.
Funder
the National Natural Science Foundation of China, Key technology of Speech recognition in Central and Western Asia under resource-constrained conditions
Subject
Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry
Reference131 articles.
1. Automatic Speech Recognition for Under-Resourced Languages: A Survey;Besacier;Speech Commun.,2014
2. Thomas, S. (2012). Data-Driven Neural Network-Based Feature Front-Ends for Automatic Speech Recognition. [Ph.D. Thesis, The Johns Hopkins University].
3. Applying multi-and cross-lingual stochastic phone space transformations to non-native speech recognition;Imseng;IEEE Trans. Audio Speech Lang. Process.,2013
4. Burget, L., Schwarz, P., Agarwal, M., Akyazi, P., Feng, K., Ghoshal, A., Glembek, O., Goel, N., Karafiát, M., and Povey, D. (2010, January 14–19). Multilingual acoustic modeling for speech recognition based on subspace Gaussian mixture models. Proceedings of the International Conference on Acoustics, Speech and Signal Processing (ICASSP), Dallas, TX, USA.
5. Automatic Speech Recognition for Under-Resourced Languages: Application to Vietnamese Language;Le;IEEE Trans. Audio Speech Lang. Process.,2009
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