89 S peech recognition seems like an attractive input mechanism for wear-able computers, and as we saw in this magazine's first issue, several companies are promoting products that use limited speech interfaces for specific tasks. However , we must overcome several challenges to using speech recognition in more general contexts, and interface designers must be wary of applying the technology to...

This paper addresses the problem of automatic word boundary detection in the presence of noise. We first propose an adaptive time-frequency (ATF) parameter for extracting both the time and frequency features of noisy speech signals. The ATF parameter extends the TF parameter proposed by Junqua et al. from single band to multiband spectrum analysis, where the frequency bands help to make the dis...

Mapping documents into an interlingual representation can help bridge the language barrier of cross-lingual corpora. Many existing approaches are based on word co-occurrences extracted from aligned training data, represented as a covariance matrix. In theory, such a covariance matrix should represent semantic equivalence, and should be highly sparse. Unfortunately, the presence of noise leads t...

In an attempt to improve the perception of vowel length contrasts in Japanese by L2 learners (L1 Korean), we compared two different training methods. The first one involved training L2 learners with sets of isolated words contrasting the vowels (Word training), whereas the other training involved presenting same words within sentences (Sentence training). Word training and sentence training bot...

results the mean age and work experience of workers were 31.39 ± 5.6 and 4.35 ± 2.5 years, respectively. among the exposed-to-noise personnel, 7.35% used hpds constantly; 75% used hpds for only short periods of time (less than four hours) and 17.65% did not make use of them at all. regarding the sound intensity and the level of noise reduction of hpds, among the 112 workers who used such device...

This paper treats a linear transformation of word templates in a word recognition system. The object of the transformation, called LMR-transform, is to adapt the recogniser to a new acoustical environment. The transform is derived by linear regression on pairs of word utterances from two different acoustical environments. The use of the transform has been evaluated for recognition accuracy, spe...

This study proposes a word alignment model based on a recurrent neural network (RNN), in which an unlimited alignment history is represented by recurrently connected hidden layers. We perform unsupervised learning using noise-contrastive estimation (Gutmann and Hyvärinen, 2010; Mnih and Teh, 2012), which utilizes artificially generated negative samples. Our alignment model is directional, simil...

In many active noise control (ANC) applications, an online secondary path modelling method that uses a white noise as a training signal is required. This paper proposes a new feedback ANC system. Here we modified both the FxLMS and the VSS-LMS algorithms to raised noise attenuation and modelling accuracy for the overall system. The proposed algorithm stops injection of the white noise at the op...

In many active noise control (ANC) applications, an online secondary path modelling method that uses a white noise as a training signal is required. This paper proposes a new feedback ANC system. Here we modified both the FxLMS and the VSS-LMS algorithms to raised noise attenuation and modelling accuracy for the overall system. The proposed algorithm stops injection of the white noise at the op...

We present a highly effective and extremely simple noiserobust front end based on novel post-processing of standard MFCC features. It performs remarkably well on the Aurora 2.0 noisydigits database without requiring any increase in model complexity. Compared to the Aurora 2.0 baseline system, our technique improves the average word error rate by 45% in the multicondition training case, (matched...