Name
Abstract | ||
|---|---|---|
This paper deals with the choice of suitable subword units (SWU) for a HMM based speech recognition system. Using demisyllables (including phonemes) as base units, an inventory of domain-specific larger sized subword units, so-called macro-demisyllables ( MDS), is created. A quality measure for the automatic decompo- sition of all single words into subword units is presented which takes into account the trainability of the chosen units. To create the whole inventory an iterative procedure is applied with respect to the predefined quality measure. Each MDS is represented by a dedicated HMM. By tying the densities of specific phonemes, only the number of mixture coefficients and transitions increases in comparison to the original phoneme models. Recogniton experiments within the German Verbmobil evaluation 1996 show that the new simple MDS models are as powerful as standard triphone models, although our MDS models are up to now context-independent. |
Year | Venue | Keywords |
|---|---|---|
1997 | EUROSPEECH | g,speech recognition |
Field | DocType | Citations |
Triphone,SI base unit,Segmentation,Computational linguistics,Speech recognition,Statistical model,Artificial intelligence,Natural language processing,Hidden Markov model,Art,Applied linguistics | Conference | 2 |
PageRank | References | Authors |
0.41 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thilo Pfau | 1 | 113 | 15.74 |
| Manfred Beham | 2 | 5 | 2.23 |
| Wolfgang Reichl | 3 | 112 | 23.57 |
| Günther Ruske | 4 | 154 | 36.13 |