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Gaussian mixture models with shifted delta ceptra features are known to provide high-performance language recognition. The performance of the models is typically assessed using measurements derived from detection estimation tradeoff (DET) curves, which is a costly process. This paper describes a new method for estimating Gaussian mixture model performance which reduces the need for the performance...
This paper presents a method for extracting distinctive phonetic features (DPFs) for automatic speech recognition (ASR). The method comprises three stages: i) a acoustic feature extractor, ii) a multilayer neural network (MLN) and iii) a hidden Markov model (HMM) based classifier. At first stage, acoustic features, local features (LFs), are extracted from input speech. On the other stage, MLN generates...
Cross language information retrieval (CLIR) system is a part of Information Retrieval. It deals with retrieving information in a different language than in which documents are stored. User retrieves the result in the language of his choice. Computing has changed the way to process the data. Our research work develops an application which gives user the flexibility to interact with system in a language...
This paper explain a method which can be used in compression of speech signals. We used Malayalam (one of the south Indian language) spoken digit for the experiment. By using Wavelet packet decomposition approach we can successfully compress speech signals and reconstruct the original speech signals from the corresponding compressed one used.
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