During tile past decade, the applicability of hidden Markov models (HMM) to various facets of speech analysi s has been demonstrated in several different experiments. These investigations all rest on the assumption that speech is a quasi-stationary process whose stationary intervals can be identifie
Temporal control improvement of hidden Markov models for automatic speech recognition
β Scribed by Christine Dours-Senac
- Book ID
- 107910406
- Publisher
- Elsevier Science
- Year
- 1991
- Weight
- 778 KB
- Volume
- 32
- Category
- Article
- ISSN
- 0165-6074
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
This paper describes, and evaluates on a large scale, the lattice based framework for discriminative training of large vocabulary speech recognition systems based on Gaussian mixture hidden Markov models (HMMs). This paper concentrates on the maximum mutual information estimation (MMIE) criterion wh
A Markov-model acoustic-phonetic component is constructed for the synthesis of standard acoustic representations of connected speech. The primary building blocks are phones with Markov models structured so that phone length, spectral power and fundamental frequency are parametrically controlled. The