This paper reports our recent development of a highly reliable call analysis technique that makes novel use of automatic speech recognition (ASR), speech utterance classification and non-speech features. The main ideas include the use the NGram filler model to improve the ASR accuracy on important words in a message, and the integration of recognized utterance with non-speech features such as u...

Austin was the first to see the need to classify speech acts.Searle put forward a classification of primitive illocutionary acts.However, Searle's classification remains dependent upon amonological, representational, and merely semantic conception oflanguage. This article (i) points out the main weaknesses of Searle'staxonomy, (ii) draws the main lines of a dialogical approa...

In this paper, we first introduce the use of Gaussian mixture models (GMM) for Chinese tone classification in continuous speech. Then, we explain how to integrate it with the HMM-based speech recognition system. Finally, we provide the tone classification accuracy of this probabilistic method which is tested with Chinese continuous speech database of national “863” project.

In this work, we present an automatic speech classification system for the Tamazight phonemes. We based on the spectrum presentation of the speech signal to model these phonemes. We have used an oral database of Tamazight phonemes. To test the system’s performances, we calculate the classification rate. The obtained results are satisfactory in comparison with the reference database and the qual...

 Problems of theory and practice of the Russian as a foreign language testing for entrants in technical universities are considered. The benefits of test forms for controlling the foreign students’ skills in the Russian language during a hard time limit are presented. The structure and content of the tests, all types of tasks offered on the entrance and final examinations in the Russian languag...

In this paper, we show that the concept of Voiced-Unvoiced (VU) classification of speech sounds can be incorporated not only in speech analysis or speech enhancement processes, but also can be useful for recognition processes. That is, the incorporation of such a classification in a continuous speech recognition (CSR) system not only improves its performance in low SNR environments, but also li...