Evaluation of Speech Emotion Classification Based on GMM and Data Fusion

Vondra, Martin; Vích, Robert

doi:10.1007/978-3-642-03320-9_10

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Cited by 5 publications

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“…The next evaluated parameter is based on the maximum confidence used for selection of features. The confidence measure (CM) gives information how distinctive is the assessment of the given classifier [7] …”

Section: Input Sentencesmentioning

confidence: 99%

GMM Classification of Text-to-Speech Synthesis: Identification of Original Speaker’s Voice

Přibil

Přibilová

Matoušek

2014

Text, Speech and Dialogue

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Abstract. This paper describes two experiments. The first one deals with evaluation of synthetic speech quality by reverse identification of original speakers whose voices had been used for several Czech text-to-speech (TTS) systems. The second experiment was aimed at evaluation of the influence of voice transformation on the original speaker recognition. The paper further describes an analysis of the influence of initial settings for creation and training of the Gaussian mixture models (GMM), and the influence of different types of used speech features (spectral and/or supra-segmental) on correctness of GMM identification. The stability of the identification process with respect to the duration of the tested sentence (number of the processed frames) was analysed, too.

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Section: Input Sentencesmentioning

confidence: 99%