Automatic Speech Recognition (ASR) systems can be trained to achieve remarkable performance given large amounts of manually transcribed speech, but labeled data sets difficult or expensive acquire for all languages interest. In this paper, we review the research literature identify models and ideas that could lead fully unsupervised ASR, including sub-word word modeling, segmentation speech sig...

With the rapid development of artificial intelligence and deep learning technology, automatic speech recognition technology is experiencing new vitality [...]

For many years, speech has been the most natural and efficient means of information exchange for human beings. With the advancement of technology and the prevalence of computer usage, the design and production of speech recognition systems have been considered by researchers. Among this, lip-reading techniques encountered with many challenges for speech recognition, that one of the challenges b...

Missing Data Techniques (MDT) can significantly improve the accuracy of automatic speech recognition (ASR) for speech corrupted by background noise. The increase in recognition accuracy obtained using MDT is largely dependent on the estimation of spectrographic masks used to distinguish speech from noise. We present an analysis technique which enables us to compare two mask estimation technique...

 In this paper, utilization of clustering algorithms for data fusion in decision level is proposed. The results of automatic isolated word recognition, which are derived from speech spectrograph and Linear Predictive Coding (LPC) analysis, are combined with each other by using fuzzy clustering algorithms, especially fuzzy k-means and fuzzy vector quantization. Experimental results show that the...

1. INTRODUCTION Automatic speech technology offers great opportunities for investigating a wide range of issues in Laboratory Phonology (e.g. [1, 2]). However, its availability hardly extends beyond a small number of languages, and most spoken languages are thus under-resourced in this perspective. Nevertheless, an increasing effort is done to develop automatic speech recognition (ASR) for such...