4th International Conference on Spoken Language Processing
Philadelphia, PA, USA
In the last few years, the power and simplicity of classification trees as acoustic modeling tools have gained them much popularity. In , we studied "tree units", which cluster parameters at the HMM level. Building on this earlier work, we examine some new variants of Young et al’s "tree states", which cluster parameters at the state level . We have experimented with: 1. Making unitary models (which contain additional information about the context) 2. Pruning trees with various severity levels (idea introduced in ) 3. Pooling some leaves (idea adapted from ) 4. Refining the questions 5. Questions about the position of the phone within the word 6. Lookahead search 7. Making a single tree for each phone
Bibliographic reference. Lazaridès, Ariane / Normandin, Yves / Kuhn, Roland (1996): "Improving decision trees for acoustic modeling", In ICSLP-1996, 1053-1056.