Automatic speech segmentation using neural tree networks
| Autor: | M. Sharma, R. Mammone |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Time delay neural network
business.industry Computer science Deep learning Speech recognition Computer Science::Computation and Language (Computational Linguistics and Natural Language and Speech Processing) Pattern recognition Speech processing Speech segmentation Recurrent neural network Computer Science::Sound Feedforward neural network Segmentation Artificial intelligence business Hidden Markov model |
| Zdroj: | Proceedings of 1995 IEEE Workshop on Neural Networks for Signal Processing. |
| DOI: | 10.1109/nnsp.1995.514902 |
| Popis: | Segmentation of speech into sub-word acoustic units using neural tree networks (NTNs) is presented. NTN is a hierarchical classifier that combines the properties of both decision trees and feedforward neural networks. The number of sub-word acoustic units in a given speech segment may or may not be known to the segmentation algorithm. Both these varieties of speech segmentation problems are addressed. The performance of the speech segmentation algorithm using NTN is compared to that obtained using hidden Markov models (HMMs) and dynamic programming-based approach proposed elsewhere. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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