Ieee Research Papers On Speech Recognition

Ieee Research Papers On Speech Recognition-66
Indeed, these errors are frequent in human-machine dialogue and have usually repercussions on all components of the spoken dialogue Character error correction for Chinese speech recognition system FREE DOWNLOAD ABSTRACT With continuous speech recognition technology, one can input documents to computer very fast.

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In the end, some A Sphinx Based Speech-Music Segmentation Front-End For Improving The Performance Of An Automatic Speech Recognition System In Turkish FREE DOWNLOAD ABSTRACT In this study a system that segments an audio signal as speech and music by using posterior probability based features is proposed and implemented in Sphinx.

Unlike the earlier efforts that uses Multi-Layer Perceptrons (MLP), this system uses Hidden- Improved Vector Quantization Approach for Discrete HMM Speech Recognition System FREE DOWNLOAD ABSTRACT The paper presents an improved Vector Quantization (VQ) approach for discrete Hidden Markov Models (HMMs).

Based on the phonetic analysis of ten Chinese dialects, we have created a Chinese super phonetic system for the Chinese speech recognition.

To exam this phonetic system and develop Recognition error handling by the speech understanding system to improve spoken dialogue systems FREE DOWNLOAD The aim of this paper is to increase the robustness of speech understanding facing the different kinds of recognition error.

SCARF: A segmental CRF speech recognition system FREE DOWNLOAD The SCARF system uses Segmental Conditional Random Fields-also known as Semi- Markov Random Fields [3] or SCRFs-as a theoretical underpinning.

To explain these, we begin with the standard Conditional Random Field model [4], as illustrated in Figure 1.

The Turing s probability estimation of n-grams is discussed in detail.

The search strategy used in the language model is also described.

For example, it is difficult for visual-impaired A Comparison of Commercial Speech Recognition Components for Use with the Project54System FREE DOWNLOAD Project54 is a collaborative research and development effort between the University of New Hampshire and the New Hampshire Department of Safety.

The Project54 effort concentrates on the integration of embedded mobile computing equipment and wireless A super phonetic system and multi-dialect Chinese speech corpus for speech recognition FREE DOWNLOAD In this paper, we describe the work on Chinese multi-dialect speech processing.


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