Metabolomics spectral formatting, alignment and conversion tools (MSFACTs)

Metabolomics spectral formatting, alignment and conversion tools (MSFACTs)

MOTIVATION The amplified interest in metabolic profiling has generated the need for additional tools to assist in the rapid analysis of complex data sets. RESULTS A new program; metabolomics spectral formatting, alignment and conversion tools, (MSFACTs) is described here for the automated import, reformatting, alignment, and export of large chromatographic data sets to allow more rapid visual...

WFST-Based Grapheme-to-Phoneme Conversion: Open Source tools for Alignment, Model-Building and Decoding

This paper introduces a new open source, WFST-based toolkit for Grapheme-toPhoneme conversion. The toolkit is efficient, accurate and currently supports a range of features including EM sequence alignment and several decoding techniques novel in the context of G2P. Experimental results show that a combination RNNLM system outperforms all previous reported results on several standard G2P test se...

Practical Alignment Tools and Techniques

Accurate sawing requires attention to proper alignment and maintenance. Alignment is critical to modern sawmills using thin kerf saws. In fact, the improvements in machine design were critical to the development of thin kerf sawing systems. About two-thirds of sawing problems are caused by misalignment, not saw preparation. Good alignment reduces down-time and machinery wear and should be part ...

Voice conversion using precise speech alignment based on spectral property and eigen-codeword distribution

While voice conversion methods have been popularly applied to convert the speech signals uttered by a source speaker to a target speaker, frame-based voice conversion generally suffers from incorrect alignment using only spectral distance and therefore generate improper conversion results. In a parallel phone sequence, the alignment using minimum spectral distance between frame-based feature ve...

Improving Photovoltaic Conversion Using Spectral Conversion