𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Speaker adaptation method for fenonic markov model-based speech recognition

✍ Scribed by Masafumi Nishimura


Publisher
John Wiley and Sons
Year
1991
Tongue
English
Weight
845 KB
Volume
22
Category
Article
ISSN
0882-1666

No coin nor oath required. For personal study only.


πŸ“œ SIMILAR VOLUMES


N-Best-based unsupervised speaker adapta
✍ Tomoko Matsui; Sadaoki Furui πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 251 KB

This paper proposes an instantaneous speaker adaptation method that uses N-best decoding for continuous mixture-density hidden-Markovmodel-based speech-recognition systems. This method is effective even for speakers whose decoding using speaker-independent (SI) models are error-prone and for whom sp

A study on the use of bi-directional con
✍ Qiang Huo; Chorkin Chan πŸ“‚ Article πŸ“… 1996 πŸ› Elsevier Science 🌐 English βš– 122 KB

In this paper, by using the formulation of the missing-data problem, a general framework for statistical acoustic modelling of speech is presented. With the motivation of utilizing bi-directional contextual dependence in acoustic modelling, a bi-directional hidden Markov modelling approach for speec

Fault recognition method for speed-up an
✍ Zhinong Li; Yongyong He; Fulei Chu; Jie Han; Wei Hao πŸ“‚ Article πŸ“… 2006 πŸ› Elsevier Science 🌐 English βš– 213 KB

The behavior characteristics of the speed-up and speed-down process of rotating machinery possess the distinct diagnostic value. The abundant information, non-stationarity, poor repeatability and reproducibility in this process lead to the necessity to find the corresponding method of feature extrac