We explore the integration of multiple factors such as genre and speaker gender for acoustic model adaptation tasks to improve Mandarin ASR system performance on broadcast news and broadcast conversation audio. We investigate the use of multifactor clustering of acoustic model training data and the application of MPE-MAP and fMPE-MAP acoustic model adaptations. We found that by effectively comb...

In this paper, we propose a novel architecture of wavelet network called Multi-input Multi-output Wavelet Network MIMOWN as a generalization of the old architecture of wavelet network. This newel prototype was applied to speech recognition application especially to model acoustic unit of speech. The originality of our work is the proposal of MIMOWN to model acoustic unit of speech. This approac...

In this paper, a data pruning approach is presented for building acoustic unit inventory for syllable-based concatenative embeddable Chinese TTS system. A 3-portion segmentation of a syllable is proposed based on the nature of voiced/unvoiced structure of Chinese syllable. Individual factorial acoustic measurement of syllable is used to calculate the penalty of perceptual unsatisfactory for con...

Acoustic emission method has a major application in the detection of the oil storage tank damage. Therefore, classification of acoustic emission signals has great significance. A classification method based on support vector machines is proposed for its good generalization performance and less training data. Based on cross validation method, the genetic algorithm is compared with the grid searc...

abstract   a cystic acoustic neurinoma almost entirely consists of a cystic component and is a well recognized subtype of acoustic schwannoma. we report a case of a 40-year- old male patient who presented with clinical features of a left cerebello-pontine angle mass lesion and ct scan findings mimicking the diagnosis of an epidermoid cyst. however intraoperative and histopathological findings w...

The design and optimization of nanostructure-based surface acoustic wave (SAW) gas sensor is analyzed based on TiO2 sensing layer and modified electrode dimensions. The sensitivity of the gas sensor depends upon the type of sensing layer used and active surface area obtained by varying the aspect ratio. The performance of the sensor is observed from 0.1ppm to 100ppm concentration of ...

In this paper, we present a system for the recognition of acoustic events suited for a robotic application. HMMs are used to model different acoustic event classes. We are especially looking at the open-set case, where a class of acoustic events occurs that was not included in the training phase. It is evaluated how newly occuring classes can be learnt using MAP adaptation or conventional train...

Aiming at ’natural’ hands-free acoustic human/machine interfaces, the need for according distant-talking automatic speech recognition (ASR) systems increases and presents us with major signal processing challenges at the acoustic front-end. Considering interactive TV as a challenging exemplary application scenario, we investigate the structural problems presented by noisy and reverberant multi-...

Whistler Text-to-Speech engine was designed so that we can automatically construct the model parameters from training data. This paper will focus on recent improvements on prosody and acoustic modeling, which are all derived through the use of probabilistic learning methods. Whistler can produce synthetic speech that sounds very natural and resembles the acoustic and prosodic characteristics of...