In this paper an estimator for speech enhancement based on Laplacian Mixture Model has been proposed. The proposed method, estimates the complex DFT coefficients of clean speech from noisy speech using the MMSE  estimator, when the clean speech DFT coefficients are supposed mixture of Laplacians and the DFT coefficients of  noise are assumed zero-mean Gaussian distribution. Furthermore, the MMS...

 The speech translation (ST) problem can be formulated as a log-linear model with multiple features that capture different levels of dependency between the input voice observation and the output translations. However, while the log-linear model itself is of discriminative nature, many of the feature functions are derived from generative models, which are usually estimated by conventional maxim...

This paper describes work in progress on computer modeling of speech acquisition. In these tests, a computer model is presented with natural speech to examine whether the model can learn vowel categories. Preliminary results are promising. The computer learns a threevowel and a five-vowel system from consonant vowel syllables in isolation. However, the experiments show that clear input is cruci...

It is now possible to synthesise speech using HMMswith a comparable quality to unit-selection techniques. Generating speech from a model has many potential advantages over concatenating waveforms. The most exciting is model adaptation. It has been shown that supervised speaker adaptation can yield highquality synthetic voices with an order of magnitude less data than required to train a speaker...

In recent years, the end-to-end speech recognition model has emerged as a popular alternative to traditional Deep Neural Network—Hidden Markov Model (DNN-HMM). This approach maps acoustic features directly onto text sequences via single network architecture, significantly streamlining construction process. However, training of models typically necessitates significant quantity supervised data a...

Language experience systematically constrains perception of speech contrasts that deviate phonologically and/or phonetically from those of the listener’s native language. These effects are most dramatic in adults, but begin to emerge in infancy and undergo further development through at least early childhood. The central question addressed here is: How do nonnative speech perception findings be...

interlanguage pragmatics (ilp) has witnessed a growing body of research in the past two decades. one of the under-explored domains of l2 pragmatics is the role of learning strategies specifically tailored for the development of ilp knowledge. therefore, this investigation aimed to determine the significant interlanguage pragmatic learning strategies (ipls) used by high vs. low l2 pragmatic achi...