Гауссовская смесь моделей

This paper addresses the problem of audio change detection and speaker tracking in broadcast TV streams. A two-pass audio change detection algorithm, which includes detection of the potential change boundaries …...

An effective method based on GMM is proposed in this paper for speech emotional recognition; a compensation transformation is introduced in the recognition stage to reduce the influence of variations …...

Segmental evaluation of HTS HTS is a parametric speech synthesis system based on the use of Hidden Markov Models (HMM). HTS is now widely used but very few studies have …...

________________________________________________________________________________________________________________ Mapping of the spectral space to the visual speech space for French vowels cued in Cued Speech In this paper, we present a statistical method based on GMM modeling …...

Toward an acoustic to articulatory inversion of a foreign speaker We present an extension of our acoustic-to-articulatory inversion method, based on unsupervised Hidden Markov Models. The articulatory vectors’ generation is …...

AbstractThis paper describes our German and English Speech-to-Text (STT) systems for the 2016 IWSLT evaluation campaign. The campaign focuses on the transcription of unsegmented TED talks. Our setup includes systems …...